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Sr. Data Engineer (ETL Developer)

$83K-$148K (Glassdoor est.)

Summary FGL Holdings—the F&G family of insurance companies—is committed to helping Americans prepare for and live comfortably in their retirement. Through its subsidiaries, F&G is a leading provider of annuity and life insurance products. For nearly 60 years, we have offered annuity and life insurance products to those who are seeking safety, protection and income solutions to meet their needs. At F&G, we believe our culture is what makes our company great. In 2019, we received a Top Workplace award, which we credit to our employees' shared cultural values: Collaborative, Authentic, Dynamic and Empowered. We believe that by embracing these values, we will continue to build and strengthen the company, while being a great place to work. We recruit talented and committed individuals to join our team, and we provide opportunities for personal and professional growth. The Sr. Data Engineer will support the design, development, implementation and maintenance of complex, mission-critical Informatica, SQL-based systems supporting F&G‘s insurance operations. As a senior team member, the senior data engineer will assume lead roles in the design and development, oversee the work of all junior developers, and participate in the strategic planning around future development of the F&G data environment. The Company has made a significant investment in information technology and relies heavily on data interfaces from multiple off-site source systems. Solid communication and problem-solving skills are required. Organization This position reports directly to the Director, Data Engineering& Administration and has significant interaction with members of the IT organization, Third Party Administrators, group managers, and departmental analysts throughout the organization. In addition, interaction with the PMO Project Managers for prioritization and reporting and Relationship Management with business will be critical and ongoing. Duties and Responsibilities Develop Informatica code to support existing and future EDS deployments Performance tune existing and future Informatica code to ensure all SLAs are met Develop and support team of on-shore and off-shore Informatica developers to deliver exceptional quality and meet all project deadlines Perform relational database analysis, modeling, and design of complex systems Create detailed technical design documents in accordance with business requirements Develop complex programs/queries to support transactional processing and regulatory reporting utilizing SQL and Informatica Develop and perform detailed unit, quality assurance and regression tests to validate the readiness of internal developed code for production Create detailed deployment plans for use in the migration of code from staging to production environments and provide deployment guides to host provider for deployments Work with Infrastructure and other IT teams to implement complete solution Create clear and effective Status reports as required Perform impact analysis for interface/system changes affecting the applications and data environment Work closely with Data Management team members to translate business needs into technical solutions Assist Data Management Manager in developing estimates for project and maintenance work Monitor/ensure acceptable levels of system performance, integrity and security Support standards for system architecture, code quality and collaborative team development Attend routine departmental meetings to support communication around development best practices, participate in change control discussions, review code, and provide technical instruction to colleagues Partner with external TPAs and consultants to collaborate on large scale development efforts and enforce F&G standards for integration and data exchange Attend conferences, developer forums, and training opportunities to ensure current technology trends are understood and applied within the F&G environment Experience and Education Requirements Bachelor’s degree (preferred emphasis in computer science or MIS) or equivalent experiences Senior to expert level design/development, debugging ability with Informatica Power Center (including version 10.1) Senior to expert level ability to optimize Informatica and SQL jobs through performance tuning Minimum 5 years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis Expert level experience in designing and building large applications utilizing SQL Server Experience in windows batch scripting, scheduling jobs using job scheduling tools, e.g., JAMS and Data Marts and other Data Warehousing practices Thorough understanding of the software development life cycle and experience in working with geographically distributed teams (offshore, offsite etc.,) Ability to use SQL development tools such as SQL Navigator and Toad as well as maintain code in source code control systems Knowledge of proper database normalization, indexing, transaction protection and locking is essential Preferred Skills Preferred to have experience in supporting DTCC and data transfers from / to external organizations and internal systems using EFT (Electronic File Transfer) Working knowledge of Informatica Data Quality, Business Glossary, Metadata Manager Experience with database design/modeling tools such as Erwin Skills and Abilities Strong technical documentation ability Familiar with SSIS, Python and other ETL frameworks preferred Previous experience with Tableau, operational reporting is a plus Must have a teamwork focused attitude and be skilled at building relationships within IT organizations and across business functions Strong technical documentation skills Life/Annuity insurance industry experience strongly preferred Excellent oral and written communication skills Knowledge of data integrity protocols and security requirements and techniques Strong time management and organizational skills to enable productivity in a fast-paced, dynamic development environment Strong verbal communication skills and a demonstrated ability to work effectively in team-based development projects Physical Demands and Work Environment Must be able to work in a fast-pace team environment and handle multiple projects and assignments under tight deadlines Must demonstrate willingness to work flexible hours as needed to accommodate business needs and deliverables Must be able to sit at a computer for extended periods of time #LI-JS1 #INDHP

F&G 3.7

Des Moines, IA

Des Moines, IA

201 to 500 employees

Subsidiary or Business Segment

Insurance Carriers

Insurance

$100 to $500 million (USD)

-1

F&G

IA

Senior Data Scientist Artificial Intelligence

$60K-$101K (Glassdoor est.)

*Organization and Job ID** Job ID: 310481 Directorate: National Security Directorate Division: Computing and Analytics Group: Data Sciences and Analytics *Job Description** Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)! For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation! Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and artificial intelligence research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to remote sensing, human language technologies, computer vision, image/video understanding and other related fields. The data scientist in artificial intelligence should have the following attributes: + Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn) + Experience applying machine learning and artificial intelligence techniques to domain specific applications, such as natural language processing, remote-sensing and geo-spatial intelligence, social computing, time series prediction, computer vision, etc. + Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred) + This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques. *Minimum Qualifications** + Bachelors degree with 5 years of experience, Masters with 3 years of experience or PHD with 1-2 years of experience. *Preferred Qualifications** + Active Federal Q Clearance and ability to maintain such clearance. *Equal Employment Opportunity** Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._** *Other Information** This position requires the ability to obtain and maintain a federal security clearance. Requirements: U.S. Citizenship Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B. Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated. _Directorate:_ _National Security_ _Job Category:_ _Computation and Information Sciences_ _Group:_ _Data Sciences & Analytics_ _Opening Date:_ _2020-02-11_ _Closing Date:_ _2020-05-01_

PNNL 3.8

Richland, WA

Richland, WA

1001 to 5000 employees

Government

Energy

Oil, Gas, Energy & Utilities

$500 million to $1 billion (USD)

Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory

PNNL

WA

Analytics - Business Assurance Data Analyst

$31K-$55K (Glassdoor est.)

Analytics - Business Assurance Data Analyst (Cedar Rapids, IA) Position Summary GreatAmerica is a national commercial equipment finance company dedicated to helping manufacturers, vendors and dealers be more successful and keep their customers for a lifetime. While GreatAmerica has grown to more than 600 team members, our entrepreneurial spirit remains and endless opportunities lie ahead. We have experienced unparalleled year over year growth since our founding in 1992. GreatAmerica is structured in cross functional teams that allow individuals make informed decisions that benefit the company and our customers. There is no doubt in our minds we are building the greatest company of its kind, offering the finest products and services available anywhere. When you are part of the GreatAmerica team, you are part of the best. You are part of the future, part of an opportunity to grow professionally and to reach your potential while enjoying your work. Position Summary As a key member of Internal Audit, this role will explore innovative ways to leverage data as well as design and develop analytics/automation that will improve and optimize Internal Audit initiatives in helping to achieve the objectives of the annual audit plan. This role will also explore efficiencies in current activities by exploring automation, and influence the ways we think about data and use technology in the audit process. This position provides a unique opportunity to leverage data skills and advance one’s audit skills through exposure to the company’s many different functions. Duties and Responsibilities Identifying, designing and developing analytics protocols, standards and reporting to support Internal Audit activities. Using technology tools to automate audit testing and develop techniques for continuous auditing and analyzing large volumes of data. Planning, performing, drawing conclusions and reporting on internal audits as assigned in accordance with the annual audit plan. Researching current internal audit and financial best practices/techniques with each engagement. Following up on audit recommendations to ensure resolution. Building/maintaining effective professional relationships within Internal Audit and Senior Leadership. Assisting in preparation of quarterly reports to the Audit Committee and Senior Leadership. Assisting external auditors with audits they have Internal Audit perform for their annual audit. Attending training/webinars/seminars to obtain appropriate level of annual Continuing Professional Education hours, with learning to be applied in the workplace. Providing input on department’s risk assessment and annual plan. Taking on special projects or assignments as requested. Position Qualifications Competencies For all GreatAmerica team members: Honesty/Integrity, Customer Oriented, Accountability, Tenacious, Communication Skills (Oral & Written), Adaptability For this position: strong communication skills – both verbal and written, strong quantitative analytical and problem solving skills, detail-oriented, ability to see the big picture/think critically, and ability to get along well with others at all levels of the company/team player. Education: Bachelor’s degree in a Business-related field (Accounting, Finance, Information Systems) or STEM field (Science, Technology, Engineering, Mathematics) is preferred. Experience 2 - 3 years of relevant experience, advanced Excel, technical and/or data analytics knowledge a plus. Certification, or a desire to obtain certification preferred. Knowledge of the lease industry a plus. Skills and Abilities A mixture of multidisciplinary skills, ranging from data analytics, accounting, internal controls, auditing techniques and communication/presentation is preferred. Advanced proficiency in Excel (Visual Basic and Pivot Tables), with general knowledge of Microsoft Suite preferred. Data Visualization experience with tools such as Tableau is a plus. Data Analytics / Business Intelligence experience is a plus. Experience acquiring data via SQL routines is a plus. Other Requirements Good interpersonal and communication skills (both written & verbal), Ability and willingness to travel which is only occasional. Willing to work more than 40 hour weeks as the demands and the expectation of the department dictate

GreatAmerica Financial Services 4.6

Cedar Rapids, IA

Cedar Rapids, IA

501 to 1000 employees

Company - Private

Lending

Finance

$100 to $500 million (USD)

-1

GreatAmerica Financial Services

IA

Associate Director/Director, Safety Scientist

$102K-$178K (Glassdoor est.)

Who are we? Acceleron is a biopharmaceutical company dedicated to the discovery, development, and commercialization of therapeutics to treat serious and rare diseases. Acceleron’s leadership in the understanding of TGF-beta superfamily biology and protein engineering generates innovative compounds that engage the body's ability to regulate cellular growth and repair. Acceleron focuses its research and development efforts in hematologic and pulmonary diseases. In hematology, Acceleron and its global collaboration partner, Bristol Myers Squibb, are co-promoting newly approved REBLOZYL® (luspatercept-aamt), the first and only approved erythroid maturation agent, in the United States and are developing luspatercept for the treatment of chronic anemia in myelodysplastic syndromes and myelofibrosis. Acceleron is also developing sotatercept for the treatment of pulmonary arterial hypertension, having recently reported positive topline results of the Phase 2 PULSAR trial and actively enrolling patients in the Phase 2 SPECTRA trial. What’s in it for you? The Safety Scientist is responsible for ensuring high quality safety surveillance activities including aggregate report production, safety management meeting coordination, signal detection and risk management activities for assigned products. Reporting to the Medical Safety Director, she/he will collaborate with other members of pharmacovigilance team and cross-functionally including clinical, regulatory, contract research organizations (CROs), and drug development collaborators/partners to ensure that all safety surveillance and individual case safety reporting are performed on-time for assigned products in compliance with global regulations. What will you be doing? Responsible for the technical and scientific support for safety surveillance and signal detection activities for assigned products via existing signal detection methodology and tools. Responsible for the development of periodic (e.g. PBRER, DSUR, PADER) and ad-hoc safety reports for assigned products for submission to regulatory agencies around the world. Collaborates with the Safety Medical Director to ensure that all information is available to allow for informed medical review and benefit-risk assessment. Responsible for the quality of the final document using the procedures in place Contribute in the evaluation of safety and supporting documents and responses to regulatory authorities. Contribute in the development of risk management plans. Review safety data from various sources (e.g. pre-clinical, clinical trial data, post-marketing, literature) throughout the development process as well as post marketing for assigned products. Represent pharmacovigilance on cross-functional product/project teams as required. Collaborate with PV team members to ensure appropriate and timely communication/dissemination of safety information. Represent pharmacovigilance for regulatory inspections and audits and contribute in developing corrective action plans when needed. In collaboration with Safety Medical Director, plan and conduct Safety Management Team (SMT) meetings and track follow-up actions. What are we looking for? Life Science Degree or Healthcare Professional (PharmD, PhD, MS, BS, RN, or RPh). Post-graduate trainings in epidemiology (e.g. MPH) is an added benefit but not an absolute requirement. Five years previous experience working in a (global) pharmaceutical Pharmacovigilance Department and among them atleast 3 years in safety surveillance or safety risk management. Experience in clinical development and post marketing safety surveillance and reporting to Regulatory Authorities worldwide. Competence in conducting safety data reviews, preparation of aggregate reports, signal detection and risk management plans for investigational and/or post marketed products. Experience with MedDRA and drug coding reviews. Knowledge of domestic and international regulatory safety reporting requirements, including FDA/ICH guidance’s related to pharmacovigilance (e.g.E2B) and Good Clinical Practices, as well as working knowledge of Code of Federal Regulations regarding drug safety. Ability to achieve compliant solutions to complex problems in which analysis of situations or data requires an in-depth, strategic evaluation of various factors Must have excellent, concise writing skills, excellent communication and interpersonal skills, and experience in working in multidisciplinary teams Demonstrated technical leadership and ability to influence across external functions and within internal team How will you grow with us? This opportunity will allow you to drive the Pharmacovigilance function at Acceleron while working with a growing team and collaborating with knowledgeable and passionate cross-functional team members. It is an exciting time to work at Acceleron, with our company growth and advancing drug pipeline. You will tackle exciting challenges in a fast-paced environment and play an important role to further develop our drug safety function. Grow in your career and join our team! *In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification document form upon hire. *Recruiters - please do not send unsolicited resumes to this posting. FOR IMMEDIATE CONSIDERATION PLEASE SUBMIT YOUR RESUME TO: www.acceleronpharma.com

Acceleron Pharma 4.4

Cambridge, MA

Cambridge, MA

201 to 500 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

Unknown / Non-Applicable

-1

Acceleron Pharma

MA

Senior Scientist, Cell Pharmacology/Assay Development

Employer Provided Salary:$110K-$130K

Senior Scientist, Cell Pharmacology/Assay Development Location: Cambridge MA Kronos Bio seeks a highly motivated Research Scientist/Senior Research Scientist to join its drug discovery team located in Cambridge, MA. As a member of an interdisciplinary team, this individual is expected to harness their substantial oncology background to help guide strategic scientific decisions and research program development. The applicant is expected to have a robust experimental skill-set, an eagerness for learning, and contribute to a strong culture of teamwork and collaboration in a fast-paced environment. Essential Duties and Responsibilities: Coordinate with R&D team members to lead key elements of discovery and preclinical development programs for novel cancer therapies. Design, develop and execute in vitro assays required for the advancement of high priority projects, including cell model development and engineering, cell-based bioassays and in vitro pharmacologic characterization. Experience with knockdown or over-expression techniques in in vitro models including CRISPR, shRNA, ASO or lentiviral overexpression to define gene expression programs. Experience using laboratory automation and robotics is a plus. Experience working closely with computational biologists and/or medicinal chemists is a plus. Manage and direct external resources (CRO) and collaborators. Present and discuss results with the Kronos Bio team and the external research community; work collaboratively with a team of talented scientists. Demonstrated ability to thrive in a collaborative cross-functional team environment, self-motivated but team player. Qualifications: PhD or MS/BS in Biology with a minimum of 2 years (PhD) or 6 years (MS/BS) industry/biotech experience. Ability to work independently and able to balance multiple tasks or projects. Diligent with details and timely execution and delivery of high-quality results. Strong background in basic research or translational research in oncology, including but not limited to high throughput screening, cell-based assays, molecular biology and protein chemistry. Familiarity with analysis of genomic and gene expression data sets. Experience working with CROs and/or compound management organizations preferred. Highly analytical mind, attention to detail, organization skills, and rigorous experimental record keeping using an ELN system are critical. Collaborative, proactive and optimistic personality. Embodies Kronos values; exhibits high degree of integrity and professionalism when interacting with outside investigators and vendors. Entrepreneurial and enjoys working in a fast-paced, creative and resourceful small company environment. Interested candidates should forward a resume and cover letter to careers@kronosbio.com. https://kronosbio.com/openpositions Kronos Bio, Inc. is dedicated to the discovery and development of first-in-class therapies that modulate historically undruggable targets. We leverage deep capabilities in high-throughput small molecule microarrays, targeted protein degradation, and cancer biology in order to identify potent and selective compounds against transcription factors and other central drivers of oncogenic signaling.

Kronos Bio

Cambridge, MA

San Mateo, CA

Unknown

Company - Private

-1

-1

Unknown / Non-Applicable

-1

Kronos Bio

MA

Data Analyst Senior

$48K-$85K (Glassdoor est.)

Data Analyst Senior Location Philadelphia, PA Telecommuter? No ID** 18676 Your career starts now. We’re looking for the next generation of health care leaders. At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you. Headquartered in Philadelphia, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. Discover more about us at www.amerihealthcaritas.com. AmeriHealth Caritas Services LLC, Philadelphia, PA, seeks a Data Analyst Sr.-IS to support business needs by collecting and analyzing data from multiple sources to improve data processing and data standardization for Medicaid/Medicare case management and coordination. Gather and analyze data using XML, Javascript, ETL frameworks, Toad, and Tableau to optimize data loads and data transformations. Report data using Business Objects in SQL databases. Use SQL and Oracle to query data and write reports. Develop application specific Logical and Physical data models along with their corresponding data definitions using Erwin Data Modeler. Develop, implement, and maintain databases using Oracle and SQL Server for the collection, tracking, and reporting of research data. Identify, analyze, and interpret trends or patterns in complex datasets using Excel, SPSS, and SAS statistical packages and provide ongoing reports. Document data using Visio and MS Project. Create SDLC documentation and utilize SDLC methodologies for all project deliverables. Develop data analysis and reporting capabilities to optimize statistical efficiency and quality. Create Entity-Relationship using Erwin Data Modeler in order to understand data flows. Monitor performance and quality control plans to identify data improvements. Filter data by reviewing reports and performance indicators to locate and correct code problems. Arrange anomalies of consumption, identify errors in data, and take measures to resolve them. Determine changes in physical databases by studying project requirements and identifying database characteristics. Maintain all data artifacts used across information platforms. Locate and define new process improvement and data standardization opportunities. Requirements: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering (any), or closely related field and 5 years of experience in data analytics. Alternatively, employer will accept a Master’s degree (or foreign equivalent) in the same fields and 3 years of experience in data analytics. Experience must also include 3 years in the following: supporting clinical data processing for Medicaid/Medicare case management; analyzing data using XML, Javascript, ETL frameworks, and Tableau; reporting data using Business Objects in SQL databases; using SQL and Oracle to query data, write reports, and develop databases; developing data models using Erwin Data Modeler; analyzing datasets using Excel, SPSS, and SAS statistical packages; documenting data using Visio and MS Project; and creating SDLC documentation and utilizing SDLC methodologies for project deliverables

AmeriHealth Caritas 3.0

Philadelphia, PA

Philadelphia, PA

5001 to 10000 employees

Company - Private

Insurance Carriers

Insurance

$5 to $10 billion (USD)

UnitedHealth Group, Molina Healthcare, Centene

AmeriHealth Caritas

PA

Lead Data Engineer (Python)

$66K-$123K (Glassdoor est.)

Lead Data Engineer (Python) Strategic Employment San Francisco, CA Are you interested in using your Python and Microservices experience to bring financial trust back to the marketplace? My client is looking for a Senior Software Engineer to help build out their next-generation data pipeline. They were voted one of the best financial solutions for consumers last year, and they are looking to expand their outreach and grow even more. Daily responsibilities will include: Backend Pipeline development in a fast-paced, exciting cloud environment Collaborate with product, design, and engineering teams Analyze and optimize current applications towards a microservices architecture Requirements Previous experience and interest in Python development (other languages will be considered) Experience taking ownership of new products and features from idea to implementation Exposure or interest in taking monolithic applications towards Microservices architecture Desired Skills Experience or interest in cloud development (AWS, GCP, etc) Experience or interest in airflow Previous experience developing high performing secure systems to meet compliance standards Company Information/Benefits/Perks: Awesome medical family coverage and 401k match Competitive bonus program (up to 40k) plus Long-Term Cash Incentive Program (30k every 3 years) Competitive and progressive vacation policy Competitive Stock options #gdsepsf #zrsep Posted On: Friday, March 13, 2020 Compensation: 165,000-185,000 Apply now

Strategic Employment Partners 4.7

San Francisco, CA

Los Angeles, CA

51 to 200 employees

Company - Private

Staffing & Outsourcing

Business Services

$1 to $5 million (USD)

-1

Strategic Employment Partners

CA

Senior Data Scientist 4 Artificial Intelligence

$92K-$146K (Glassdoor est.)

*Organization and Job ID** Job ID: 310468 Directorate: National Security Directorate Division: Computing and Analytics Group: Data Sciences and Analytics *Job Description** Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)! For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation! Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and artificial intelligence research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to remote sensing, human language technologies, computer vision, image/video understanding and other related fields. The data scientist in artificial intelligence should have the following attributes: + Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn) + Experience applying machine learning and artificial intelligence techniques to domain specific applications, such as natural language processing, remote-sensing and geo-spatial intelligence, social computing, time series prediction, computer vision, etc. + Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred) + This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques. *Minimum Qualifications** + Bachelors degree with 7 years of experience, Masters with 5 years of experience or PHD with 3 years of experience. *Preferred Qualifications** + Active Federal Q Clearance and ability to maintain such clearance. *Equal Employment Opportunity** Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._** *Other Information** This position requires the ability to obtain and maintain a federal security clearance. Requirements: U.S. Citizenship Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B. Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP). Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated. _Directorate:_ _National Security_ _Job Category:_ _Computation and Information Sciences_ _Group:_ _Data Sciences & Analytics_ _Opening Date:_ _2020-02-11_ _Closing Date:_ _2020-05-01_

PNNL 3.8

Seattle, WA

Richland, WA

1001 to 5000 employees

Government

Energy

Oil, Gas, Energy & Utilities

$500 million to $1 billion (USD)

Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory

PNNL

WA

Medical Lab Scientist - MLT

$21-$29 Per Hour(Glassdoor est.)

Position Type: Regular Scheduled Hours per 2 week Pay Period: 80 Primary Location: NE > OMAHA > IMMANUEL Hours: 5:00am-1:30pm, with rotating holidays & weekends ** $10,000 sign on bonus & $10,000 student loan forgiveness** Analyzing lab testing is pretty complex. We depend on the knowledge and skills of our MTs when it comes to evaluating medical lab tests to determine whats happening with our patients. They are vital to the diagnosis, treatment, and prevention of diseases. Love working in lab and analyzing results? Connect with CHI today! What youll do: · Conduct chemical analysis of body fluids, including blood, urine, or spinal, to determine presence of normal or abnormal components · Collect biological specimens from patients · Operate, calibrate, and maintain equipment used in quantitative or qualitative analysis · Enter data from analysis of medical tests or clinical results into computer for storage Why you should choose us: What sets us apart from other healthcare organizations? How much time do you have? In short, it all starts with our current employees. They believe in living our mission to provide compassion to everyone. We, in turn, believe that growing and supporting our people allows us to deliver a higher degree of quality care to our patients. CHI advocates for all who live in the communities we serve, especially the most vulnerable. Choose an organization who will champion your talents and nurture your career. Choose CHI! Requirements: Associates or Bachelor's degree in Medical Lab Technology or Medical Technology or related field Certified eligible or certified as a Medical Laboratory Scientist or Medical Technologist by ASCP, AMT, NCA or HEW or specialty board by ASCP for area employed Additional Information Requisition ID: 2020-R0281615 Schedule: Full-time Market: CHI Health

Catholic Health Initiatives 3.2

Omaha, NE

Englewood, CO

10000+ employees

Nonprofit Organization

Health Care Services & Hospitals

Health Care

$10+ billion (USD)

Dignity Health, Trinity Health

Catholic Health Initiatives

NE

Senior Operations Data Analyst, Call Center Operations

$10-$17 Per Hour(Glassdoor est.)

Summary Independent contributor role that uses expert skills in process, strategy, data mining concepts, analytics and technology to analyze data and make recommendations to drive improvements to operational and retention metrics, reporting, strategy and customer experience. Package If you are looking for an EXCITING place to work with a GROWTH-ORIENTED company, then Comdata is for you! Competitive compensation Development and internal growth opportunities in Nashville, Brentwood, as well as globally Benefits on the first of the month following your hire date Automatic enrollment into the 401k plan within your first thirty (30) days with Company match Fun work environment with team building events, contests with awards and prizes Company picnics, lunches and holiday celebrations throughout the year Daily on site lunch option with various restaurants On-site breakroom and lunch area with a marketplace to purchase snacks, drinks, and meals Community support with both local and national organizations Health programs such as Weight Watchers and Gym memberships paid for by the company Cellular, rental car, banking, and Regal movie theatre discounts Robust PTO policy including: major holidays, vacation, sick days, and personal days Philanthropic support with both local and national organizations Main Responsibilities Maximizing use of current tools, reports and programs as well as using technological creativity and know-how to automate manual reporting/tools and development and creation of new reporting/tools. Initiate and/or manage call center data process improvements. Create new reports or manage existing reports on Salesforce and Tableau. Manage cross functional activities related to large-scale call center analytic projects to deliver on schedule with superior quality. Work with Senior Leadership and Business Partners (when applicable) to provide data, insights and recommendations to build strategy around driving use of technology and tools by call center leadership. Collaborate with Senior Leadership to understand their data analysis needs, explain trends in data and actively drive further research and/or operational changes within in the call center to meet service goals, meet cost goals and provide our customers an excellent customer experience. Manage and Administer Verint Scorecards and Reporting. Manage and Administer Call Center Incentive Program. Manage other systemns/tool implementation as needed. Work with front line Call Center Management to develop them into expert users of call center technology and self- serve tools. Regularly assess/analyze call center service goal performance relative to how agents are grouped to take inbound calls and make recommendations for change based on business need, new products, changes to how to currently do business to drive more efficient call processing and better customer experience. Provide tutorship or act as mentor to junior analysts. Ideal Candidate Bachelor's Degree in Mathematics, Finance, Business, Computer Science, Statistics Call center experience and ability to demonstrate understanding of call center KPI metrics Familiarity with the Verint Workforce Management or similar workforce management applications a plus Familiarity with Salesforce and Business Intelligence tools like Tableau Expert computer skills, including advanced knowledge of Word, Excel and Access Excellent and demonstrable knowledge of various statistical analysis methods Excellent and demonstrable customer service skills that build high levels of customer satisfaction Excellent and demonstrable verbal and written communication skills Effective and demonstrable people skills and sensitivities when dealing with others Ability to work effectively in both an independent and a team environment and demonstrates flexibility in approach to work, people, processes Able to direct the definition, implementation and integration of statistical and data analysis principles Able to extract data from large scale databases or applications to create custom datasets, models or reports Project management experience for this type of work a plus, but not required Relies on extensive experience and judgment to plan and execute goals, needs little direct supervision A wide degree of creativity and latitude is expected

FLEETCOR 2.7

Nashville, TN

Peachtree Corners, GA

5001 to 10000 employees

Company - Public

Financial Transaction Processing

Finance

$2 to $5 billion (USD)

-1

FLEETCOR

TN

Director II, Data Science - GRS Predictive Analytics

$150K-$239K (Glassdoor est.)

Advance your career at Liberty Mutual Insurance - A Fortune 100 Company! Job Summary: The GRS Predictive Analytics Team (supporting claims) is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing on several new next gen predictive models for all GRS LOBs. This person will collaborate closely with LOB Operations and Product teams, other Data Scientists, Actuaries and IT teams. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques, and their application to business opportunities. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment. Responsibilities: Collaborate with GRS Claims Strategy, Product Teams and Field Operations to develop business cases and specifications for predictive modeling products Responsible for building next gen predictive models using cutting edge techniques, monitor model performance, and identify continuous improvement opportunities Understand the competitive marketplace, IT environment, claims operations, and data challenges to deliver actionable insights, recommendations and business processes. Liaison with IT to develop innovative ways to deploy new predictive models in production Become an expert in the GRS Claims data environment and help define the long-term data strategy required for predictive analytics team Present findings, share insights, and make recommendations that impact claims operations Effectively communicate results in written, oral and presentation formats. Regularly engage with the data science and actuarial communities and lead cross-functional working groups, such as on improving the Data Science summer internship program Mentor junior Data Scientists on the team Qualifications: Strong understanding of various analytical, problem solving and modeling techniques. Extensive experience building predictive models using techniques such as GLMs, GBMs, SVMs, Neural Network, etc. Extensive experience with building models using unstructured data such free text, images, voice data etc. Expertise in one more programming language such as, Python, R or SAS Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give communicate effectively to management and other groups. Ability to train and mentor team (with junior analysts) Has a value-driven perspective about understanding of work context and impact. Knowledge of claims processes preferred. MS, PhD in statistics, computer science, engineering or related fields Benefits: We value your hard work, integrity and commitment to positive change. In return for your service, it's our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Overview: At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed. We're dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual.

Liberty Mutual Insurance 3.3

Chicago, IL

Boston, MA

10000+ employees

Company - Private

Insurance Carriers

Insurance

$10+ billion (USD)

Travelers, Allstate, State Farm

Liberty Mutual Insurance

IL

RESEARCH COMPUTER SCIENTIST - RESEARCH ENGINEER - SR. COMPUTER SCIENTIST - SOFTWARE DEVELOPMENT

$52K-$91K (Glassdoor est.)

Serve as a software developer and researcher on a team developing software solutions for programs making a positive impact on society in Intelligent Transportation Systems (ITS) technology areas such as Integrated Corridor Management Systems (ICMS), Decision Support Systems (DSS), Advanced Traffic Management Systems (ATMS), Smart Cities, and Data Analytics Platforms; utilize advanced data science skills and techniques in state-of-the-art software development environments. Perform in all phases of the development lifecycle, including requirements definition, software/systems design, implementation, testing, and integration. Initiate advanced research and development programs; interact with clients and make technical presentations. Assist with project management and team leadership, developing system architectures, configuration management, and development/system engineering for client/server software, cloud-hosted systems, user interfaces, hardware and device management of IoT systems, etc.s Education/Experience: Requires a BS degree in Computer Science or Computer Engineering with at least 3 years of in software development experience. Must have at least a 3.0 GPA. Must have experience in systems engineering and exposure to object-oriented programming (programming languages such as, but not limited to, C++, C#, Java). Education and/or experience involving .NET, C#, Java, JavaScript, C++, Python, WPF, Git, Microsoft SQL Server, Windows, Linux, Docker, Kubernetes, Redis, Elastic Stack, TypeScript, HTML, CSS, Angular, Kafka, AWS, Azure, GCP is preferred. Excellent interpersonal skills and the ability to work well individually and as a member of a project team are required. Excellent written and verbal communication skills required. A valid/clear driver's license is required. Special Considerations: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas For more information about this division, visit the Intelligent Systems home page. An Equal Employment Opportunity/Affirmative Action Employer Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran Committed to Diversity in the Workplace

Southwest Research Institute 3.9

San Antonio, TX

San Antonio, TX

1001 to 5000 employees

Nonprofit Organization

Research & Development

Business Services

$500 million to $1 billion (USD)

Los Alamos National Laboratory, Battelle, SRI International

Southwest Research Institute

TX

Geospatial Software Developer and Data Scientist

$82K-$129K(Employer est.)

Job Posting Title: Geospatial Software Developer and Data Scientist ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Description: Development and implementation of geospatial algorithms for a variety of remote sensing technologies and applications (airborne and space-based). Innovate machine learning and deep learning techniques for exciting programs for diverse sponsor needs. Enhance and improve existing machine learning algorithms using modern machine learning methods. Innovate solutions to accommodate clustering and cloud based capabilities. Contribute to the Geospatial Laser Applications and Measurements group research tasks and objectives. ---- Job Details: Responsibilities Develop new software and algorithms for remote sensing data production, evaluation and applications. Collaborate with sponsor technical team and manage project progress. Other related functions as assigned. Required Qualifications Bachelor's degree in engineering or computer science and three years of related experience. Applicant must have expertise in Python and Unix shell scripting. Proficient with algorithm design and development. Applicant must be comfortable using a Linux command line interface and have practical experience using Git/Gitlab/Github or other modern software version control system. Experience with one or more machine learning toolkits, like ScikitLearn, Keras, PyTorch, or Tensorflow. Experience with common machine learning algorithms and supervised training methods, like dimensionality reduction, clustering, ensemble learning, decision trees, SVMs, and CNNs. Ability to work with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with diverse groups of clients. US Citizen: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position. Preferred Qualifications Hands-on experience with state-of-the-art machine learning techniques using U-Nets, GANs, Autoencoders, or Reinforcement Learning. Demonstrated experience with end-to-end machine learning pipelines with real-world data-sets, including data cleaning, feature engineering, cross-validation, three-sets, and hyper-parameter tuning. Experience with R or MATLAB. Demonstrated experience with algorithm development for remote sensing data product processing, analysis and applications. Understanding of best practices of software development such as code reviews, test-driven development, and continuous integration/continuous deployment. Cumulative GPA of 3.0. General Notes An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc. Salary Range $82,000-$129,000+/negotiable depending on qualifications Working Conditions Standard office conditions Use of manual dexterity Repetitive use of keyboard at a workstation Some weekend, evening, or holiday work Possible interstate/intrastate travel Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Unofficial college transcripts Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. ---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English) [PDF] E-Verify Poster (Spanish) [PDF] Right To Work Poster (English) [PDF] Right To Work Poster (Spanish) [PDF] ---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the 2019 report here or obtain a copy at University Compliance Services, 1616 Guadalupe, Suite UTA 2.206, Austin, TX 78701.

Applied Research Laboratories 3.7

Austin, TX

Austin, TX

501 to 1000 employees

College / University

Colleges & Universities

Education

Unknown / Non-Applicable

-1

Applied Research Laboratories

TX

Senior Scientist - Toxicologist - Product Integrity (Stewardship)

$47K-$101K (Glassdoor est.)

British American Tobacco Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century. When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive. ABOUT OUR ORGANIZATION: Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with RAI Services Company (2200). Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day. Position Description: RAI Services Company (RAIS) is seeking a toxicologist to support the development of new products consistent with RAIS' Growth, Innovation and Harm Reduction Platforms, and provide support for efforts such as regulatory submissions. The incumbent will be required to provide stewardship and regulatory support for consumer products, critically assess a broad range of toxicological information, evaluate chemical and toxicological data, develop technical documents on a variety of scientific and risk assessment topics, and assist with the preparation and/or review of information supporting regulatory submissions. The individual will be required to interact cross-functionally, across the enterprise, and globally, as well as manage multiple projects to ensure project timelines are met. Key responsibilities will include: Provide stewardship support across products, materials, ingredients, technologies, manufacturing processes, etc., for RAI Operating Companies Develop technical documents on various scientific, risk assessment, and regulatory topics, including toxicological data summaries. Assist with the design, management, and interpretation of chemical and toxicological studies at contract research organizations to support product development and regulatory submissions. Lead and/or assist with the preparation of documents in support of regulatory submissions. Position Qualifications: Educational Requirements PhD in Toxicology, Pharmacology or related discipline. MS in Toxicology, Pharmacology or related discipline with minimum 2 years of industry experience conducting human safety assessments of consumer products (e.g., cosmetics, household products), medical devices, pharmaceuticals, or chemicals. Required Skills Mastery of literary & laboratory research skills to use web search and scientific databases for bibliographic research and scientific monitoring. Strong scientific and technical writing skills. Proficiency in Microsoft Office software; strong computer experience is essential. Excellent project management and teamwork skills. Excellent interpersonal, written/oral communication skills. Preferred Skills Experience applying quantitative risk assessment (QRA) approaches and the preparation of human health risk assessments. Experience with the preparation of documents in support of regulatory submissions. Experience with critical evaluation of in vivo and in vitro toxicological studies. Experience organizing and working with large datasets of information. Proficiency with EndNote or equivalent. Compensation/Targeted Bonus Competitive Annual Salary Targeted Annual Bonus Relocation assistance available for those who qualify. Benefit Summary Our company offers very competitive benefit plans, including: 401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent Comprehensive health- and welfare-benefits package Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service Company-paid sick and personal days, funeral leave and jury duty leave Confidential personal financial counseling service On-site health clinics and fitness centers A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice Health-care advocacy service Volunteer service opportunities Federal credit union membership through Allegacy Federal Credit Union Extensive training opportunities Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd. We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com. California Privacy Notice Nearest Major Market: Salem Nearest Secondary Market: Winston Job Segment: Chemistry, Scientific, Toxicology, Law, Scientist, Science, Engineering, Legal

Reynolds American 3.1

Winston-Salem, NC

Winston-Salem, NC

5001 to 10000 employees

Company - Private

Consumer Products Manufacturing

Manufacturing

$10+ billion (USD)

-1

Reynolds American

NC

Systems Engineer II - Data Analyst

$49K-$76K (Glassdoor est.)

­­Missile Systems provides many different high-technology weapon systems solutions to our defense customers. The Systems Test Directorate at MS is seeking candidates for the Integration & Verification Center. Position Summary: The Integration & Verification (I&V) Center within the Systems Test Directorate is seeking candidates to perform the role of Systems / Integration & Verification Engineer on various programs with opportunities across multiple product lines; candidate will also provide support during lab/field/flight integration activities. Off-site integration testing covers a wide array of testing to include but no limited to: Design Verification Testing (DVT), Integrated Operational Missile (IOM) integration and testing, Flight Test Round (FTR) assembly and test, Qualification Testing, Functional Testing, Missile System Testing, Platform Integration Testing, Range Integration Testing, etc. A working knowledge of test equipment (data acquisition systems, meters, scopes, etc.), hardware integration (from board/section to full up round), testing, systems engineering, telemetry data processing/recording equipment, and data analysis is required. Tasking will consist of troubleshooting integration issues and providing failure identification, characterization and resolution. The candidate will adhere to the FRACAS process, use/troubleshoot telemetry acquisition systems, interpret test requirements, develop analysis-based tools/scripts, process and analyze test data, provide failure identification, characterization and resolution. Write test and data analysis plans/reports, assist Senior Engineers with the resolution of any issues observed, and present findings during meetings to include formal reviews to senior program leadership. Strong collaboration/communication skills are required to support working across various Systems Test disciplines (integrators, testers, analysts, subject matter experts, tool developers, etc.), multiple IPTs, and between Engineering and Production. U.S. Citizenship status is required as this position will need a U.S. DoD Security Clearance upon start date. This position may require travel in support of field testing and flight testing at various test sites. Seeking a candidate to fill a full time position located in Huntsville, AL. The candidate must be able to work independently with minimal supervision, but have good judgment as to engage additional and appropriate engineering resources when needed. Required Experience: U.S. Citizenship required A minimum of 2 (two) years of technical/engineering experience in Systems / Integration & Verification Experience with Electronics, Computers and Mechanical systems Experience with and understanding of troubleshooting and failure analysis processes Experience performing real time data collection / analysis (including telemetry) Desired Skills: Able to perform successfully in an environment with frequent and direct interaction with customers and peers Able to work well in diverse teams and have the ability to multi-task Able to travel to domestic field sites on occasion Strong analytical and problem solving skills Customer oriented and results driven Basic understanding and use of lab/field test equipment Experience with Verification and Validation methods and associated activities Able to create integration and verification strategies to support efficiency improvements Excellent communication (oral and written) skills Understanding of Failure Review Board (FRB) process with respect to logistical and methodical failure isolation and disposition Experience with Test Equipment and Hardware Integration, Integration & Test, Data Analysis Technical writing skills (Test Plans, Test Procedures, Data Analysis Plans, Test Reports) Knowledge of FRACAS (failure identification/characterization/resolution) Familiarity with telemetry systems/architecture/data and telemetry database development Working knowledge of MATLAB or similar programming language Required Education and experience (including Major): BS in Engineering or Related field (Preferred Majors: Electrical, Aerospace, Mechanical, Software, Physics or Systems) and 2 years of relevant experience This position requires the successful issuance, transfer or maintenance of any clearances and/or accesses necessary for the position. Additional detail regarding security clearance factors can be obtained by accessing the DISCO website at: https://www.state.gov/security-clearances 160002 Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Raytheon 3.7

Huntsville, AL

Waltham, MA

10000+ employees

Company - Public

Aerospace & Defense

Aerospace & Defense

$10+ billion (USD)

-1

Raytheon

AL

Senior Research Analytical Scientist-Non-Targeted Analysis

$43K-$88K (Glassdoor est.)

RTI International is seeking a Senior Research Analytical Scientist with experience conducting non-targeted analysis, including data processing and reporting, to propose and lead complex research projects. Ideally, you would build a sustainable research program and provide non-targeted analytical support of environmental and biological samples for current Discovery Sciences projects, including the National Toxicology Program (NTP), the National Park Service (NPS), the Environmental Protection Agency (EPA), and others. The Discovery Sciences team has been active in supporting projects for more than 30 years, providing key chemistry and other chemical characterization, research, and analysis services. For example, our scientists perform a broad array of chemical analyses, including: High-throughput screening Analytical method development Chemical characterization Dose formulation development and dose analysis Biosample analysis Stability measurements Pharmacokinetic studies In this role, you will be expected to develop and lead multidisciplinary research teams with your primary responsibilities including but not be limited to: Research and service proposal development for public and private sector clients Expansion of RTI’s non-targeted analytical capabilities Expansion of RTI’s scientific stature, including peer-reviewed manuscripts and presentations at national and international conferences Development of RTI staff members Leading strategic, transdisciplinary proposals, including epidemiology, environmental monitoring, health equity, disaster recovery, and international development studies Qualifications: Ph.D. in a chemistry, environmental sciences, or a related discipline 10 years of related post-graduate professional experience A strong track record of peer-reviewed publications A demonstrated ability to propose and lead complex projects A demonstrated experience developing and retaining staff’ Strong verbal, interpersonal, and written communication skills A demonstrated understanding of instrumentation and software tools needed to collect, process, and interpret non-targeted analytical data A demonstrated track record of thought leadership and external funding support #LI-BM1

RTI International 4.3

Durham, NC

Research Triangle Park, NC

1001 to 5000 employees

Nonprofit Organization

Research & Development

Business Services

$500 million to $1 billion (USD)

Westat, Abt Associates, Chemonics International

RTI International

NC

Director Data Science

$124K-$199K (Glassdoor est.)

We’re looking for a director to drive our data science and analytics group forward! You’ll be joining a group of curious, smart, technically minded yet business savvy data scientists looking to make a difference to the company by designing and building out our data decisioning capabilities from the ground up! The Director of Data Science is passionate about using data and insights to drive business strategy and develop data products. A successful candidate will manage more junior data scientists and help build out the team further. They would also work to identify and prioritize initiatives to deliver value to our internal stakeholders. The ideal candidate would have experience managing a data science team, managing stakeholders, and working cross functionally. This person would have real world experience “in the data trenches” as a data scientist. We expect this person to have a passion for leading a team, strong analytical skills, and a strong desire to make an impact in our growing data science practice! What you’ll do: · Become the domain expert of 1-2 areas of the Tranzact business (i.e. retention, call center effectiveness, etc.) and contribute to the advancement of that area through thought leadership · Find new and improved ways for us to use data in our products, operations, and business strategies · Mentor, develop, and motivate more junior data scientists and analysts · Facilitate data-driven decision making and prioritize initiatives · Develop strong cross functional partnerships with business and technology stakeholders · Lead new projects and initiatives starting from understanding business needs to execution and presenting to and influencing stakeholders. · Act as a subject matter expert with all things data · Work to build out the data science team as we grow What we do: We achieve competitive advantage through data-driven marketing and full management of the customer experience.We’re constantly refining our technology and our strategies, that’s why we’re the industry leader in delivering the best results to the top insurance brands in America. That’s not just lip service either, we’re consistently awarded partner of the year from brands like AFLAC, Humana, and more. Our work has also been featured on The Dr. Oz Show, Forbes, and Vox -- to name a few. We want people who fit within our Be Real culture. We want a diversity of programmers and writers and designers and data scientists and strategists and more. We’re made up of introverts and extroverts, suits and rebels, corporate types and anti-corporate types. We’re an environment where every person feels their full potential is only limited by their ability to conceive of it and make it happen.Our company grew from entrepreneurial roots but has big company resources to get amazing things done. What we’re looking for: · BA/BS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.) · 7+ years of experience in a data science ideally related to marketing, business operations, or customer retention · Experience managing and mentoring data scientists · Experience conducting analyses to drive business impact · Ability to communicate findings clearly and deep understanding of your current business · Proficiency with Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) · Ability to manage multiple projects and deadlines · Experience communicating strategy and results to different audiences · Ability to work cross functionally and influence others · A lifelong learner that is excited to learn new data science technologies and apply those to technologies to our business · Ability to be objective and follow the facts, cut through noise and create a story with data. · Thrives in a fast-paced environment that is constantly changing What’s in it for you: · Medical, dental, vision, paid time off/holidays, 401(k), and bonus opportunity · Frequent office events and outings · Employee development programs, conference and training reimbursement · Work remote flexibility · Joining a growing and exciting team making a big impact on the business! TRANZACT, a Willis Towers Watson Company, is an Equal Opportunity/Affirmative Action employer and voluntarily complies with the laws and regulations related to employment without regard to race, color, religion, sex, national origin, marital status, sexual orientation, age, status as a protected veteran or individual with a disability, ancestry, gender, gender identity or expression, or any other protected group status or non-job related characteristic protected by applicable human rights or equal opportunity legislation. We are a company that values diversity. As required by law, we must record certain information to be used as part of our Affirmative Action Program. In extending this invitation you are advised that (a) response data is used for periodic government reporting and will remain confidential within Human Resources department; (b) responses are used solely to help us comply with government record keeping, reporting and other legal requirements.

TRANZACT 3.6

Fort Lee, NJ

Fort Lee, NJ

1001 to 5000 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

-1

TRANZACT

NJ

Sr Data Analyst - IT

$52K-$93K (Glassdoor est.)

Position Summary The Senior Data Analyst drives pharma client analytics solutions for United BioSource Corporation (UBC), supporting many of the world’s largest pharmaceutical companies to improve patient lives, support drug safety programs, and help manage new Clinical studies. Responsibilities · Build and continually improve Tableau dashboard offerings for business partners. · Monitor and analyze business performance, providing targeted dashboards and recommendations for operational improvement. · Serve as Subject Matter Expert (SME) for business data, systems and processes under team’s area of support. · Write and edit SQL code to ensure data is pulled optimally. Required Qualifications · BS in a technical field (BI, Analytics, Data Science, IS, Computer Science, etc). · Advanced SQL skills. · Advanced dashboard design skills, including 2+ years of experience with a dashboard toolset (Tableau, Qlik, Domo, Birst, etc). · 2+ years of data analysis experience. · Excellent communication and presentation ability. · Excellent project management skills. · Highly self-motivated. Preferred Qualifications · MS in a Data-related field (BI, Analytics, Data Science, etc). · Expert-level SQL skills · Expert-level Tableau skills. · Advanced R skills. · Healthcare (ideally pharma) experience. ·Minimal travel is required ( #LI-SF1

United BioSource 2.1

Blue Bell, PA

Blue Bell, PA

1001 to 5000 employees

Other Organization

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$100 to $500 million (USD)

Covance, ICON

United BioSource

PA

Senior Data Engineer

$97K-$181K (Glassdoor est.)

About Us Figure Eight is the essential Human-in-the-Loop Machine Learning platform for data science and machine learning teams. The Figure Eight platform transforms unstructured text, image, audio, and video data into customized high-quality training data to make AI work in the real world. Figure Eight's technology and expertise supports a wide range of use cases including autonomous vehicles, intelligent personal assistants, medical image labeling, consumer product identification, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance. Headquartered in San Francisco and backed by Canvas Ventures, Trinity Ventures, Industry Ventures, Microsoft Ventures, and Salesforce Ventures, Figure Eight serves Fortune 500 and fast-growing data-driven organizations across a wide variety of industries. For more information, visit www.figure-eight.com. About the Role Figure Eight users range from engineers and data scientists to subject matter experts creating training data for machine learning. You will be working on the most important problems in technology today: how can humans and AI collaborate to solve important and sometimes complicated tasks? As a member of our core team, you will design, build, and improve on tools used by many of the most widely-known tech companies with large-scale machine learning initiatives active today. This may include collecting and managing training data for AI models, evaluating the performance of the machine learning models used by that data, or building infrastructure and managing data pipelines. Specifically, you will work on a generalized annotation API that consists of both automated and human-driven annotation tools for 2D and 3D images, video, text, and audio data. The platform will combine human input (eg: bounding boxes on objects) and Machine Learning input (eg: automatic object tracking in videos) for maximum efficiency and effectiveness. You will be on a cross-functional team collaborating with members of the Product, Machine Learning, Dev Ops, and Backend Engineering teams. Your work will consist of implementing new features and services, maintaining infrastructure, and migrating existing services to a SOA/microservice-based architecture. Youll mentor less experienced developers and constantly work on improving your own skills and the quality of our code-base. For more about what we build, please visit www.figure-eight.com/overview The Ideal Candidate: You enjoy thinking about and working on enterprise-level data management systems. You are looking for a company at the epicenter of a rapidly-developing machine learning industry and are driven by a hunger to learn and develop your skills. You are passionate about working on a project that contributes meaningfully to the further development of technology and to humanity as a whole. You care about best practices and you choose the tools you work with judiciously and deliberately. You have strong analytical skills, an unwavering commitment to quality, an open-minded and collaborative work ethic, and cutting-edge coding skills. Responsibilities / Opportunities: Build & maintain low-latency, high-scalability data pipelines in service of our human-in-the-loop machine learning workflows platform. Build & maintain adapter services for ingesting data from a wide variety of streaming and batch-based sources. Build & maintain services for throttling, backpressure, schema management, and normalization. Implement QA and testing strategies. Promote best practices for writing maintainable code. Participate in selecting tools and setting development standards at Figure Eight. Ability/readiness to develop excellent working relationships with a diverse team of peers across organizations (Engineering, QA, DevOps, Product, Design, et al). Competencies: 5+ years of software development experience in cloud-based, multi-tiered, enterprise application systems. 5+ years managing data platforms/engineering using enterprise service bus or message-based architectures, such as Kafka, Redis, RabbitMQ, or similar. 3+ years production environment-level experience with Ruby on Rails application development. Hands-on experience with developing microservices and successfully building products using SOA. Hands-on experience with event-sourcing and functional programming patterns. Hands-on experience with AWS, Git, Docker, Gradle, Jenkins, Jira, and Confluence. Nice-to-have Competencies: Familiarity with batch processing and workflow tools such as Airflow, Luigi, Celery, or others Prior production experience with Python, Java, and/or Scala. Familiarity with basic machine learning concepts. Figure Eight offers an attractive total compensation package including outstanding benefits and stock options. Learn more about our culture at https://www.figure-eight.com/company/careers/.

Figure Eight 3.9

San Francisco, CA

San Francisco, CA

51 to 200 employees

Company - Public

Computer Hardware & Software

Information Technology

$10 to $25 million (USD)

-1

Figure Eight

CA

Senior Data Engineer

$100K-$173K (Glassdoor est.)

Position Title: Senior Data Engineer Position Description / Responsibilities: Tapjoy is seeking a Senior Engineer in our Data Science group who will work closely with Data Scientists, Data Platform, and Ad Server Engineering teams to help productionalize, scale, and support Tapjoy's Optimization platform. We are looking for someone who has had experience working with vast amounts of data, scaling systems, and, supporting low-latency applications. Essential duties and responsibilities may include, but are not limited to: Design and build scalable, personalized ad-serving algorithm REST service API with Data Scientists Design and create a robust service that serves a high volume of requests Implement generalized a/b test frameworks to support multivariate testing covering component change/user segmentation and bucketing / metadata driven auto experiment set up, etc. Competencies: You possess strong computer science fundamentals, including knowledge of data structures, algorithms, and object-oriented design You have strong SQL understanding and some data analysis experience. You have experience with or interest in Java, and interfacing with REST APIs Is self-directed and self-driven Is results-oriented with a high emphasis on "on-time" delivery of projects and features Values collaboration with various teams and stakeholders highly Communicates often and well about potential roadblocks and tradeoffs between performance and complexity Requirements: B.S. or M.S. in Computer Science 3+ years of Software Engineering experience (preferably with Java) Strong knowledge of data structures, SQL, software design patterns and algorithms (i.e., indexing, hash tables, joins, aggregation) Knowledge of low-latency, high-throughput services Strongly prefer someone who has had experience with big data platforms and challenges that come with large scale platforms. Prefer someone who understands general machine learning and data mining concepts Experience with advertising industry is a big plus Tapjoy is a leading mobile advertising and app monetization company. Our platform empowers advertisers to connect with over 975 million monthly active users through value exchange advertising that drives awareness, engagement and the metrics that matter most to their overall growth. Meanwhile, companies such as Scopely, Crowdstar, Topps and many of the Top 200 grossing app publishers trust our platform to monetize their content, grow their audiences and reward their users. Founded in 2007 and headquartered in San Francisco, Tapjoy is a global organization with more than a dozen offices worldwide. Tapjoy is an equal opportunity employer. We believe that diversity and inclusion lead to stronger, more innovative teams and better business results; we want to draw from the broadest talent pool possible and encourage qualified applicants. Tapjoy does not discriminate on the basis of sex, race, ethnicity, color, age, sexual orientation, gender (including identity and expression), disability (mental or physical), religion, national origin, citizenship, marital status, military or veteran status, or any other protected classification protected by applicable law; we will provide reasonable accommodations for qualified individuals with disabilities, and pursuant to applicable fair chance ordinances, we will consider for employment qualified applicants with arrest and conviction records. For more information, please visit www.tapjoy.com. ]]>

Tapjoy 3.9

San Francisco, CA

San Francisco, CA

201 to 500 employees

Company - Private

Internet

Information Technology

$10 to $25 million (USD)

FLURRY, Chartboost

Tapjoy

CA

Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad

$53K-$96K (Glassdoor est.)

(We are unable to sponsor for this role or in the future) Fareportal is currently seeking a Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad for our Data Science team. At Fareportal, we create the technology that is driving innovation in the travel industry - one of the world's fastest-growing sectors. Our employees are the core of our organization and together we're revolutionizing the way people book travel. Our portfolio of brands including CheapOair and OneTravel receive over 100 million visitors annually and drive over $4 billion in annual revenue. In addition to competitive pay and benefits, generous time off, and frequent company-wide social events, Fareportal provides employees with an environment that nurtures diversity, creativity, and success. Our open and Agile workspace gives our employees the time and space for collaboration, brainstorming, and research and development. At Fareportal, you'll be challenged, rewarded, and motivated to work effectively day in and day out. Our Associate Machine Learning Engineer will be handling hundreds of millions of events per day, responsible for creating and supporting machine learning models that will drive our business. Machine Learning Engineers is at the heart of how Fareportal works and they are part software engineer and part machine learning / data scientist. You will focus on creating and supporting large scale models that we deploy to power our recommendation, pricing or other systems. The ideal candidate will participate in the design and implementation of the entire model pipeline, from project ideation, figuring out which data to capture and store, coming up with features, to creating the final model. We are passionate about making data-driven decisions and you will have the opportunity to shape the team's direction and create large impact. Our team loves Python and Scala (and is not afraid of Functional Programming) and we strongly encourage DevOps approaches. Responsibilities: Support our data modeling efforts to ensure we are capturing the data needed to improve our modelin Create features for our feature store Build machine learning models Use a variety of techniques including predictive modeling, recommendation engines, revenue management, conversion rate optimization, and site and user experience optimization. Our ideal candidate: Who You Are You are smart and love to build systems that are well tested as well as flexible You like being around smart people who will challenge you on a daily basis. You love to ramp up on new technologies to build awesome things with us! Passionate about working with large unstructured and structured data sets and developing new approaches to relevance problems Requirements Bachelor in Computer Science, Software engineering, Data Science or related disciplines (we are open to exceptions) - Only May 2020 Undergraduates Good knowledge of one of: Python or Scala Solid understanding of object oriented or functional programming concepts Familiarity with version control concepts Good knowledge of machine learning Good knowledge of Pyspark Good knowledge of software engineering best practices

Fareportal 3.8

New York, NY

New York, NY

1001 to 5000 employees

Company - Private

Travel Agencies

Travel & Tourism

$2 to $5 billion (USD)

Expedia Group, Orbitz Worldwide, Priceline.com

Fareportal

NY

Senior Scientist - Biostatistician

$65K-$96K (Glassdoor est.)

British American Tobacco Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century. When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive. ABOUT OUR ORGANIZATION: Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with RAI Services Company (2200). Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day. S&RA is currently seeking a qualified Senior Scientist - Biostatistician to support our clinical studies, biomarker research, product and process development, and regulatory projects. The successful candidate will be expected to work collaboratively with various internal and external groups/clients to provide broad statistical support and to manage multiple projects to ensure timelines are met. This position also offers opportunities for acquiring new skills, engaging with regulatory agency (FDA/CTP), publishing research findings, mentoring young scientists and professional growth. Principal Duties & Responsibilities: Collaborate with clients to design experiments, develop and review study protocol, statistical analysis plan, and data collection tools, and determine appropriate sample sizes. Select appropriate statistical approaches and conduct statistical analyses to meet client and/or regulatory requirements. Develop and/or review tables, listings, figures (TLF) and study reports. Communicate analysis results via written reports, oral presentations, and meetings with key stakeholders. Participate in abstract, poster, or journal article writing. Work cooperatively with other statisticians and regulatory submission specialists to address regulatory and project-related statistical issues. Job Requirements: Education / Experience: Master’s degree with 1+ year relevant experience or PhD degree in statistics, biostatistics, epidemiology, or closely related discipline. Required Skills: Proficient in statistical software (SAS, R, etc.) for data analysis (SAS preferred). Effective oral and written communication skills including technical writing skills. Ability to successfully manage multiple tasks and projects simultaneously, with a focus on timely and accurate completion of priorities. Preferred Skills: Experience in the analysis of clinical, chemical, biological, and/or toxicological data. Familiar with statistical methods that apply to clinical trial design. Knowledge of CDISC standards (CDASH, SDTM, ADaM, etc) Ability to drive collaborative efforts cross-functionally and externally. Excellent attention and accuracy with details. Ability to apply critical thinking and problem-solving skills. Demonstrated ability to work both independent. Compensation/Targeted Bonus Competitive Annual Salary Targeted Annual Bonus Relocation assistance available for those who qualify. Benefit Summary Our company offers very competitive benefit plans, including: 401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent Comprehensive health- and welfare-benefits package Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service Company-paid sick and personal days, funeral leave and jury duty leave Confidential personal financial counseling service On-site health clinics and fitness centers A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice Health-care advocacy service Volunteer service opportunities Federal credit union membership through Allegacy Federal Credit Union Extensive training opportunities Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd. We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives. ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com. California Privacy Notice Nearest Major Market: Salem Nearest Secondary Market: Winston Job Segment: Chemistry, Toxicology, Scientific, Scientist, Law, Science, Engineering, Legal

Reynolds American 3.1

Winston-Salem, NC

Winston-Salem, NC

5001 to 10000 employees

Company - Private

Consumer Products Manufacturing

Manufacturing

$10+ billion (USD)

-1

Reynolds American

NC

Data Scientist

$56K-$95K (Glassdoor est.)

Sartorius Stedim Data Analytics, a market leader in advanced analytics and provider of Umetrics Suite of Data Analytics Solutions, is on a strong growth path driving new innovative solutions in the field. It currently has an outstanding opportunity for a Senior Data Scientist to drive customer applications, support the Sartorius sales teams and feedback customer needs into the development of new solutions. The incumbent for this key role will have a strong customer focus to help secure innovation and growth from both new and existing customers. What you can look forward to Assisting customers in solving business related problems using advanced data analysis and data driven technologies Supporting implementation of advanced analytics in industry Analyzing large amounts of data and building data driven models Initiating, leading and driving customer projects Training customers on the use of our software Supporting Sartorius sales (pre/post) Supporting marketing & development Performing regular follow up with customers to track satisfaction, secure project momentum and discover additional opportunities Creating technical documents Attending and presenting at conferences, seminars and forums Developing & cultivating strong relationships with external and internal stakeholders Being part of a team of data scientists Skills and experience Minimum a bachelor’s degree in a relevant field (engineering, life sciences, informatics, etc.), master’s degree preferred Minimum two years’ work experience within Biopharma or Pharma Minimum two years’ working knowledge of applied statistics such as MVDA, DOE, MSPC, PAT, QbD, Model Predictive Control (MPC), MMPC, AI/Machine learning Bioprocess knowledge preferred Familiarity with Umetrics Suite of Data Analytics Solutions preferred (MODDE, SIMCA, SIMCA-online, Control Advisor, Active Dashboard) Working knowledge of prescriptive analytics a plus Working knowledge of Python scripting preferred Working knowledge of MATLAB, data historians & control strategy a plus Teaching, consulting and project management experience a plus Excellent communications skills, strong presentation skills a plus Comfortable working independently Comfortable working from home office, willingness to travel (~25%) Strong identification with Sartorius core values: sustainability, openness, enjoyment Driving our future growth requires talented people. Sartorius is a dynamic organization suited to people who want to showcase skills, be recognized for expertise and thrive in a vibrant and innovative environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please view equal employment opportunity posters provided by OFCCP here https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterEnglish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/EverifyPosterSpanish.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWEnglishversion.pdf https://e-verify.uscis.gov/esp/media/resourcesContents/WebBPPOSTERRtoWSpanishversion.pdf Interested? Driving our future growth requires talented people. Sartorius is a dynamic organisation suited to people who want to showcase skills, be recognised for expertise and thrive in a vibrant and innovative environment. To find out more about Sartorius as an employer visit us on Sartorius Careers Become part of our global team.

Sartorius 3.5

Albuquerque, NM

Gottingen, Germany

5001 to 10000 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $2 billion (USD)

-1

Sartorius

NM

Data Scientist

$111K-$176K (Glassdoor est.)

About Us Interested in working for a human-centered technology company that prides itself on using modern tools and technologies? Want to be surrounded by intensely curious and innovative thinkers? Seeking to solve complex technical challenges by building products that work for people, meet and exceed the needs of businesses, and work elegantly and efficiently? Modeling ourselves after the 1904 World's Fair, which brought innovation to the region, 1904labs is seeking top technical talent in St. Louis to bring innovation and creativity to our clients. Our clients consist of Fortune 500 and Global 2000 companies headquartered here in St. Louis. We partner with them on complex projects that range from reimagining and refactoring their existing applications, to helping to envision and build new applications or data streams to operationalize their existing data. Working in a team-based labs model, using our own flavor of #HCDAgile, we strive to work at the cutting edge of technology's capabilities while solving problems for our clients and their users. The Role As a Data Scientist with 1904labs, you will be working with other data scientists, data engineers, and developers to provide analytical services to clients. You will leverage the clients' data assets to answer business questions using best practices and innovative approaches. This will mean employing various data science tools (Python, apache spark, TensorFlow) and techniques (dimensionality reduction, unsupervised learning, supervised learning) to create and test machine learning algorithms. Once tested and verified you will work with development teams to implement the algorithm as a scalable, hosted service. We're looking for an experienced and creative data scientist who can conceptualize a project from start to finish, identifying the appropriate data and methodologies to use. Our Data Scientists work with open-source machine learning packages and libraries, so this position involves building custom ML/AI utilities from open-source resources in languages such as Python (preferred) and R. In this role, you will own and share technical solutions with both technical and non-technical stakeholders across multiple teams both internally and with external clients. Responsibilities Perform data analysis to understand the right combinations of data to meet outlined objectives Translate client queries into actionable data pulls and help translate outputs into client strategies Build and evaluate predictive modeling & machine learning utilities to produce meaningful outcomes that enable data-led decisions Translate analysis results into actionable insights Present insights to both technical and non-technical audiences Partner with internal data scientists, developers, and tech teams to develop new methodologies and utilities Work with development teams to implement data science algorithms as scalable, hosted services Your Skills Requirements Background in math including linear algebra, statistics, probability, and numerical analysis. Machine Learning Analysis: Must be able to execute, evaluate, and apply various models such as logistic regression, random forests/decision tree, nearest neighbor, neural net, support vector machine, an ensemble of multiple models, etc Programming: Proficient coding in a language suited for machine learning systems such as Python or R (not reliant on GUI-based systems to execute analysis) for the purpose of cleaning, manipulating, visualizing, and analyzing data Desired Skills Experience with software engineering and developing deployable API services Must be adaptable and have the drive to learn new technologies and frameworks to support developing client solutions Using browser based interactive computational environments (like Jupyter Notebook) to perform analysis activities and test / evaluate data models and algorithms. Tools: Spark, Pandas, SciKit-Learn, TensorFlow, Keras, SQL Communication: Must be able to explain analysis process and translate results into actionable insights for both technical and non-technical audiences Teamwork: Must be accountable for individual responsibilities while working collaboratively with development and engineering teams to achieve project deliverables Comfort in an agile development environment (eg. writing stories, participating in workshops, sprint planning and retros) Perks Benefits Program (medical, dental, life insurance, 401(k), professional and personal development, PTO) Innovation Time - we allow 10% of your time to be devoted to innovation hours. This time can be used to foster individual ideas, personal projects, start up ideas, improve an open source tool or for career advancement and self-education. All during traditional working hours. Dress Code - we don't have one These roles are located in St. Louis, MO. While we would prefer local candidates your location is not the most important factor; please help us understand why you would like to call St. Louis home if you would be relocating. ]]>

1904labs 4.7

Saint Louis, MO

Saint Louis, MO

51 to 200 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

Slalom, Daugherty Business Solutions

1904labs

MO

Data Scientist

$75K-$127K (Glassdoor est.)

Title: Data Scientist Location: Springfield, VA - perhaps other locations as well ***Active TS/SCI Security Clearance Required*** Summary Royce Geospatial Consultants is looking for an energetic and experienced data scientist and or modeling expert with experience working within a Multi-Int environment. Responsibilities Works with large structured / unstructured data sets, various rest/wms data services, multiple database programs and collection systems, in a modeling and analytical environment, solving hard intelligence problems and issues. Uses exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combines applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Researches and implement optimization models, strategies, and methods to inform data management activities and analyses Applies big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities Qualifications 10 years of experience as an intelligence analyst (single-INT or all-source) utilizing data from multiple intelligence disciplines (HUMINT, SIGINT, GEOINT, OSINT, MASINT) required Experience using spatial and statistical analysis techniques for performing problem solving against disparate datasets required Scripting knowledge (JS, Python) is a huge plus and any experience using model based analytics programs like JEMA, NODE RED, etc. and software packages like SAS is beneficial Active TS/SCI Clearance REQUIRED Desired Experience Keyhole Markup Language (KML) and GIS software such as Google Earth, ArcGIS Experience using Joint Enterprise Modeling and Analytics software (JEMA), FADE/ MIST Database administration and query languages (predominantly SQL Select statements), Python expressions or other related scripting languages HTTP, HTML, CSS and programming languages such as Java, JavaScript, Python and various web service frameworks Who we are..... ROYCE GEO We're not your typical government contracting company, nor do we want to be. At Royce GEO, we live for building durable and long-lasting relationships with our clients, providing exceptional service with a CAN'T QUIT / WON'T QUIT attitude. We are creating a culture of winning, optimism, FUN and caring for the "guy or gal" next to you. If you want to work in a real team environment and share the wealth and satisfaction of providing real value to your customer, then this company may be just for you. Visit our site: www.RoyceGeo.com Full Medical | 401K match | Competitive Salary | Robust Training Offering | Generous Paid Time Off Equal Opportunity Employer Powered by JazzHR

Royce Geospatial 5.0

Springfield, VA

Arlington, VA

51 to 200 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$10 to $25 million (USD)

-1

Royce Geospatial

VA

Data Engineer

$65K-$119K (Glassdoor est.)

At MassMutual, were passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Engineering team, part of the Enterprise Technology and Experience, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual and the industry forward. To continue our cutting-edge work, we are hiring an Advanced Data Engineer to join our team. What great looks like for this role: Our ideal Advanced Data Engineer is a collaborative leader skilled in designing and constructing highly scalable data management systems. Youre also committed to data integrity, are highly analytical, and can work on multiple projects at once. Youll use your skills to develop, monitor, and manage data systems across our platform. Additionally, you will act as a mentor to junior team members and coach them on best practices and engineering standards. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by MassMutual are core reasons people enjoy working on the Data Engineering team at MassMutual. Objectives of this role: Design, construct, install, test and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise. Daily and Monthly Responsibilities: Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise. Create messaging standards for our messaging platforms. Develop tools and processes to support the platform. Create custom software components (e.g. specialized UDFs) and analytics applications. Work across departments and business units to define patterns and data needs. Translate high-level business requirements into technical specs. Basic Qualifications: Bachelors degree in computer science or engineering. 4+ years of experience with designing and building data platforms. 3+ years of experience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, etc) 3+ years of coding and scripting (Python, Java, Scala) and design experience. Expertise in tuning and troubleshooting streaming/messaging platforms. Experience with ELT methodologies and tools. Strong data integrity, analytical and multitasking skills. Excellent communication, problem solving, organizational and analytical skills. Able to work independently. Authorized to work in the USA with or without sponsorship. Preferred Qualifications: Ability to setup and maintain a Kafka Cluster Experience with Spark Experience with designing an automating deployment process (CI/CD) Basic knowledge of database technologies (Vertica, Redshift, etc)

MassMutual 3.6

Springfield, MA

Springfield, MA

5001 to 10000 employees

Company - Private

Insurance Carriers

Insurance

$10+ billion (USD)

-1

MassMutual

MA

Computational Chemist/Data Scientist

$56K-$97K (Glassdoor est.)

*Organization and Job ID** Job ID: 310562 Directorate: Earth & Biological Sciences Division: Biological Sciences Division Group: Exposure Science *Job Description** The Biological System Science (BSS) Group in the Biological Sciences Division of the Pacific Northwest National Laboratory (PNNL) is seeking one or more staff scientists (Assistant or Associate Professor equivalent) with multidisciplinary experience in computational chemistry, cheminformatics, advanced statistics and/or machine learning/deep learning/AI. Successful candidates will join a large, uniquely collaborative, collegial group of innovators driving the integration of data science, computational science and analytical chemistry to solve the nations most challenging problems in human health, chemical forensics, and national security. Candidates are expected to lead existing projects as well as help grow the program by inspiring innovations that accelerate discovery of groundbreaking computational methods in high throughput small molecule identification and lead submission of competitive grants to a broad sponsor space. The BSS Group is diverse and inclusive, working closely with colleagues across the laboratory with expertise in computational biology, integrative omics, applied mathematics, computer science, and statistics. Preferred candidates will have a broad understanding of the state of computational metabolomics and experience in designing and implementing novel deep learning networks for chemistry applications. These positions have the responsibilities and expectations of an assistant or associate professor or professor: Will establish and grow scientific programs, built multi-disciplinary teams across the research organization, contribute to ongoing research programs, mentor and grow junior staff, establish or maintain a national reputation, build collaborations and train post-docs and students. While this position is equivalent to an associate professor or professor position, PNNL itself does not have titled professor positions. PNNL actively supports joint appointments with academic institutions across the U.S. Discipline, principal job duties/expectations, and qualitative and quantitative measures of performance that exceed the Functional Descriptor: Responsibilities include: + Selects and develops technical approaches on assignments with occasional oversight on complex problems. Principal investigator or co-PI on projects or tasks, while integrating capabilities of work team members. Supports/takes lead in scoping, scheduling, and budgeting at a project or major task level. Generates new ideas for proposals and business development opportunities while leading development of technical section of small to medium proposals. Demonstrates ability to acquire funding for self with programmatic impact at the sector and division level. Serves as a role model for quality. + Develops and optimizes capabilities at the division level. Develops external reputation. Builds/leads effective project teams with membership across a group, S&E domain and/or directorate. Contributes to the local organization through mentorship of junior staff and taking on operational assignments. + Leads organizational teams that proactively identify and promote new capabilities within a division and S&E domain and advance the directorate. The hiring level will be determined based on the education, experience and skill set of the successful candidates based on the following: Level 3: Manages small to moderate projects and/or major project tasks. Integrates intellectual and technical capabilities of work teams. Enhances technical/professional skills of junior staff through active mentoring and training. Generates ideas for new proposals and participates in business development activities. Level 4: Conceives, plans, and executes R&D with considerable influence on scientific and technological developments. Displays considerable leadership in defining scientific and technical objectives across programs. Leads in the capture, planning, and technical execution of complex interdisciplinary projects and programs across organizational boundaries with lab level impact, and outside of the laboratory. *Minimum Qualifications** + BS with 5+ years of experience, or MS with 3+ years of experience, or PhD with 1+ years of experience in computational chemistry, machine learning, chemical engineering, or related field. + Demonstrated success in training scientists/students in computational chemistry, metabolomics, mass spectrometry, or computational metabolomics. + Work history of leading interdisciplinary teams to develop and execute project or major task research projects. + Strong publication record + Intermediate to expert-level programming and high-performance computing experience. *Preferred Qualifications** + PhD in computational chemistry, chemical engineering, or related field with 3+ years of independent research experience. + U.S. Citizenship, potential for obtaining a security clearance. + Nationally recognized scientific leadership. + Demonstrated track record of successful/funded proposals. + Strong verbal and written communications skills. + Experience coding in Python, using NWChem, Gaussian, or comparable software. *Equal Employment Opportunity** Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov. *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._** _Directorate:_ _Earth & Biological Sciences_ _Job Category:_ _Scientists/Scientific Support_ _Group:_ _Exposure Science_ _Opening Date:_ _2020-02-25_ _Closing Date:_ _2020-05-24_

PNNL 3.8

Richland, WA

Richland, WA

1001 to 5000 employees

Government

Energy

Oil, Gas, Energy & Utilities

$500 million to $1 billion (USD)

Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory

PNNL

WA

Principal Data Scientist (Computational Chemistry)

$108K-$173K (Glassdoor est.)

At Recursion, we combine experimental biology, automation and artificial intelligence to quickly and efficiently identify treatments for human diseases. The Principal Data Scientist (Computational Chemistry) will identify and use computational chemistry methods, integrating them with machine learning and data science approaches to augment our AI platform, accelerate our current drug discovery programs, and lead towards the discovery of high value medicines. THE PROBLEMS YOU'LL SOLVE This is an individual contributor position reporting to the Director, Data Science, in which you'll help lead the expansion of Recursion's capabilities downstream of our high-throughput image-based phenotypic discovery platform. Specifically, you will collaborate with teams spanning data science, chemistry, and biology to apply ligand-based drug design techniques in the context of therapeutic project teams, and help guide methods development efforts in this area to complement a phenotypic-discovery-oriented process. In this role you will: Build. You will advance chemistry related R&D processes across Recursion's small molecule discovery programs by identifying and building computational tools to accelerate and automate them. You will apply the methods in hit to lead and lead optimization programs. In collaboration with chemistry, you will actively identify opportunities to contribute to Recursion's chemical space strategy, e.g. in evolving the screening library. Guide, Create, and Question. Just because something has been done one way for decades doesn't mean it's optimal. You will bring new methods to bear while staying thoughtful about the value that exists from many tried and true approaches, and guide your peers in the implementation of a creative vision for computational chemistry in drug discovery. Code. You are both a chemist and technologist at heart and won't be happy unless you are also writing code to be used throughout the organization. THE EXPERIENCE YOU'LL NEED Advanced degree in Computational Chemistry, Physical Organic Chemistry, Computer Science, Machine Learning, or relevant fields. Experience in shaping and executing programs in computational medicinal chemistry and pharmacology as part of multidisciplinary teams. Demonstrated contributions that changed the course of both active therapeutic candidate projects and longer-term research and development programs. 3+ years experience in developing ligand-based drug design methods, including pharmacophore modeling, QSAR, 3D-QSAR, and conformational analysis. Experience in developing novel predictive models for DMPK/Tox in the context of active candidate programs is desirable. Experience developing new methods and products in computational chemistry for virtual library assembly and screening Experience in machine learning applied to chemistry, including both classical (e.g., matched-pairs and substructure analysis) and recent (e.g., representation learning and graph convolutional) methods. Expertise programming in thePython data stack, including ML packages such as Scikit-Learn,PyTorch, and Tensorflow/Keras, in a Linux environment. THE PERKS YOU'LL ENJOY Coverage of health, vision, and dental insurance premiums (in most cases 100%) 401(k) with generous matching (immediate vesting) Stock option grants Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave Commuter benefit and vehicle parking to ease your commute Complimentary chef-prepared lunches and well-stocked snack bars Generous paid parental leave (including adoptive) Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking WHAT WE DO Recursion is reinventing the pharmaceutical industry's approach to drug discovery. Our unique platform combines the most advanced biology, high-throughput automation, and artificial intelligence to rapidly discover treatments for rare diseases, diverse immune and inflammatory diseases and new indications in the future. Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law. Check out what it is like to work at Recursion: https://www.youtube.com/watch?v=UpOENLieOd8

Recursion Pharmaceuticals 4.7

Salt Lake City, UT

Salt Lake City, UT

51 to 200 employees

Company - Private

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$1 to $5 million (USD)

-1

Recursion Pharmaceuticals

UT

Data Scientist

$94K-$139K (Glassdoor est.)

About Citi Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citis Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients and the publics trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all. Are you a passionate data scientist? Are you looking to join a team where you will play a key role in expanding initiatives? Key Responsibilities: The role will include, but not limited to the following Able to understand Various data structures and common method in data transformation Excellent Pattern recognition and data mining Able create and maintain data Lineage Define Data model as per industry standards Adhere to industry standards for best practices Key Relationships: Partner with technology teams across MSST/Global Funds and the wider Citi technology group to drive quality across the software development life cycle. Knowledge/Experience: Strong background in the financial services and banking industry Strong knowledge of full software development and testing lifecycle Experience in driving business results through effective use of technology solutions Knowledge on Client Static data, Client data onboarding Knowledge on Data quality and Control Knowledge in Fund Accounting, Alternative Investment, Hedge industry will be a plus Required Skills: Knowledge of industry standard tools e.g. Word, Excel, PowerPoint, Visio, etc. Intermediate level skills in SQL Personal: Excellent interpersonal and communication skills A self-starter who can deliver well as part of a team Ability to work under pressure during tight dead lines Excellent analytical and problem solving skills ------------------------------------------------- Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - US ------------------------------------------------------ Time Type : ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity. Citigroup Inc. and its subsidiaries ("Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity CLICK HERE. To view the "EEO is the Law" poster CLICK HERE. To view the EEO is the Law Supplement CLICK HERE. To view the EEO Policy Statement CLICK HERE. To view the Pay Transparency Posting CLICK HERE.

Citi 3.6

Jersey City, NJ

New York, NY

10000+ employees

Company - Public

Investment Banking & Asset Management

Finance

$10+ billion (USD)

-1

Citi

NJ

Principal Machine Learning Scientist

$176K-$289K (Glassdoor est.)

Today, nearly every business in the world has to do bookkeeping and accounting in order to file taxes, understand financial health, and most importantly, make strategic business decisions. The process is universally manual, tedious, and error prone. At the same time, the process follows well-defined rules, abides by industry standardization, and has become increasingly data-rich. It’s a product-focused machine learning team’s dream. Sage Intacct Artificial Intelligence Labs “SAIL” is a nimble team within Sage Intacct building the future of cloud accounting by leveraging artificial intelligence. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights. We are looking for a Principal Machine Learning Scientist in San Francisco to help us ship AI-powered products and services. As a part of our cross-functional team, including data scientists and engineers, you will help steer the direction of the entire company’s Artificial Intelligence / Machine Learning effort and you will also be a key individual contributor. Responsibilities: Solving problems from ideation to production, using machine learning. Experimenting, training, tuning, and shipping machine learning models. Writing production-quality code. Exploratory data analyses and investigations. Working with product managers to translate product/business problems into tractable machine learning problems. Working with machine learning infrastructure engineers to ship models. Presenting findings, results, and performance metrics to team. Basic Qualifications: MS in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative field. Strong theoretical foundations in linear algebra, probability theory, optimization. Strong programming skills in Python. 4+ years of hands-on experience in working with numpy, scipy, scikit-learn, pandas. 4+ years industry experience shipping production machine learning models. Experience communicating projects to both technical and non-technical audiences. You know what these things are (in no particular order): logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, convex optimization, eigenvectors, relational databases, SQL, latency, computational complexity, sparse matrices. Preferred Qualifications: PhD in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative fields. Publications in top conferences. Experience writing complex SQL queries. You have deep experience with these things: logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, convex optimization, eigenvectors, relational databases, SQL, latency, computational complexity, sparse matrices. You may be a fit for this role if you: You’re comfortable with investigating open-ended problems and coming up with concrete approaches to solve them. You know when to use machine learning and when not to! You’re a deeply curious person. You can wrangle data like a pro alligator wrestler and come out relatively unscathed. You often think about applications of machine learning in your personal life. What it’s like to work here: You will have an opportunity to work on a small and growing team based in San Francisco in an environment where engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. We promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable and inclusive. We know that great things can only be done with great teams and look forward to building and working with a great people.

Sage Intacct 4.7

San Francisco, CA

San Jose, CA

501 to 1000 employees

Subsidiary or Business Segment

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

-1

Sage Intacct

CA

Data Scientist

$92K-$149K (Glassdoor est.)

As Scale’s first data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we’re looking for a talented data scientist to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve. You will: Work closely with product, marketing, business, and ML teams to identify and answer important questions Set up, maintain, and scale our data analytics infrastructure Build critical dashboards that will guide day-to-day operations, planning, and strategic decision-making Iterate on your work and analyses to generate ever-better questions to answer Apply statistical models to identify root causes and predict the future performance of tasks, users, and products Design, run, and analyze experiments Build machine-learning models that power core operations, such as quality assessment and fraud detection Ideally you’d have: 3+ years of industry experience in data science broadly Expert knowledge of a scientific computing language (*e.g. *R, Python) and SQL Strong knowledge of statistics (clustering, regression, etc.) and experimental design Comfort setting up and using BI tools Experience with ETL tools and building / maintaining a data warehouse Nice to haves: A PhD or MS in a quantitative field About Us: At Scale, our mission is to accelerate the development of Machine Learning and AI applications across multiple markets. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include OpenAI, Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more Scale is an equal opportunity employer. We aim for every person at Scale to feel like they matter, belong, and can be their authentic selves so they can do their best work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Scale AI 3.5

San Francisco, CA

San Francisco, CA

51 to 200 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

Scale AI

CA

Product Engineer – Data Science

$63K-$101K (Glassdoor est.)

Overview The Product Engineer for applied Data Science will perform a wide variety of statistical and analytical techniques using the ArcGIS API for Python and other Web GIS tools along with other open source or proprietary analytic tools and capabilities commonly employed across national security related problems. All work performed in this role is from the perspective of a customer-user in the role of a Data Scientist working on national security challenges and problems. From this perspective, the overarching goal of the Product Engineer is to create the right ArcGIS products and experiences to meet the analytic needs across the national security community. This work will include performing, documenting and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, identifying new technical requirements, and improving the analysis tools and APls. Responsibilities Participate in the design, release and successful adoption of the Python API for ArcGIS across multiple industries and a particular focus on national security interests. Develop sample integrations, tutorials and documents for working with Jupyter Notebooks and the ArcGIS System Leverage open source as well as proprietary modules using Python Perform bug fixes and maintenance tasks for relevant and related products Write samples and guides using Jupyter Notebooks, SOK guides and blog posts Design, test, release, and support ArcGIS software for geoprocessing and analysis to enhance overall product quality and applicability for supporting data science workflows and needs Participate in the design of new functionality for future releases Identify workflow, data sources and enhancements for existing analytic methods and techniques Evangelize data science community to our software community through various venues such as user documentation, educational materials, social media and online content Requirements Ability to apply analytical rigor and statistical methods to data and be comfortable manipulating and analyzing complex, high-volume, and high-dimensionality data from varying sources. Incumbents are effective communicators capable of independently driving issues to resolution and communicating insights to non-technical audiences. Strong background in statistical theory and application Industry experience with case analysis, requirement gathering, and documenting to enhance existing software Experience with designing, documenting, and executing functional test plans, in a commercial software environment Knowledge of mocking up user experience modifications to support new software features 2 or more years experience with geoprocessing and Python scripting Knowledge of RDBMSs, such as Oracle, SQL Server, etc. Bachelor's or master's in GIS, statistics, geoscience, or related field, depending on position level Questions about our interview process? We have answers. #LI-JO1 The Company Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them. Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more. Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri 3.5

Arlington, VA

Redlands, CA

1001 to 5000 employees

Company - Private

Computer Hardware & Software

Information Technology

$1 to $2 billion (USD)

Pitney Bowes

Esri

VA

Principal Scientist, Chemistry & Immunology

$54K-$115K (Glassdoor est.)

SUMMARY The Principal Scientist will report to the Director of Scientific Affairs, and will be responsible for management and execution of analytical technical activities and ensure their quality for ACM Clinical Laboratory, Inc. Responsibilities will include development of comprehensive policies and procedures for test and analyzer evaluation, development, validation and implementation. This position will work closely with the Scientific Affairs, Proposals and Business Development to ensure ACM Global Laboratories can provide high quality clinical insights to our clients, impacting patients around the world. STATUS: Full time LOCATION: ACM Global Laboratories - Headquarters (160 Elmgrove Park, Rochester, NY) DEPARTMENT: Clinical Trials SCHEDULE: Days ATTRIBUTES PhD in related chemical, physical, or biological science field required. 2-5 years laboratory experience and prior management or supervisory experience required. 2-5 experience in Chemistry & Immunology required. 2 years of laboratory management experience required. Certificate of Qualification in Clinical Chemistry or Cellular Immunology preferred. Board Certification (ABB, ABCC, ABFT, ABHI, ABMGG, ABMLI, ABMM, NRCC) preferred. RESPONSIBILITIES Method & Test Development. Oversee the development, validation, and implementation of new tests and procedures to ensure the clinical laboratory meets the needs of all clients, especially non-FDA approved assays to support Clinical Trial clients. Ensure appropriate technical methods are utilized. Develop protocols and oversee laboratory instrument selection, evaluation, validation and implementation. Advise on selection of new instrumentation globally. Prepare scientific data, including sample stability, method information, reference ranges, etc. to support test menu development. Participate in Continuous Professional Development and any other activity needed to ensure continuing registration as a Clinical Scientist or Laboratory Director, and keep abreast of new developments in the Biomedical Sciences and Clinical specialty and advise on new initiatives as appropriate. Quality. Provide scientific and technical support on interpretation of laboratory data as required. Establishing and signing off acceptance of reference ranges. Review and approve validation studies of each test for clinical use. In conjunction with the laboratory manager, periodically review laboratory and quality control/assessment data to ensure accurate and precise results are continually produced, and participate in the ACM Global inter-laboratory correlation and standardization process. Supervise the training of staff in new techniques as necessary. Work with the QA department in writing and reviewing Standard Operating Procedures and relevant documentation as necessary. Participation in all activities that seek to ensure compliance with GCP guidelines and CAP accreditation. Comply with policies for the safe, secure and confidential processing and storage of patient and other laboratory information. Client Relations. Review client protocols and prepare proposals and quotations to assist the business development team. Advise as necessary. Liaise with Proposals and Business Development and the VP of clinical operations to advice on methodology, instrumentation and costs for new assays to be introduced into the laboratory to assist in the development of quotations. Provide test analytical information and participate in conference calls and meetings with clinical trials analysts, business development and ACM clients. Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran

Rochester Regional Health 3.3

Rochester, NY

Rochester, NY

10000+ employees

Hospital

Health Care Services & Hospitals

Health Care

$500 million to $1 billion (USD)

-1

Rochester Regional Health

NY

Data Scientist

$118K-$188K (Glassdoor est.)

Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact. As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities. Here at Change Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare. Pursue purpose. Champion innovation. Earn trust. Be agile. Include all. Empower Your Future. Make a Difference. Change Healthcare occupies a uniquely interconnected position at the center of healthcare, serving providers, payers, and consumers. As an independent healthcare IT company with approximately 15,000 team members, we work with multiple platforms to address diverse needs. CULTIVATING A CAREER WITHIN CHANGE HEALTHCARE Our culture is guided by our core values which are woven into the fabric of every aspect of our company: Pursue Purpose, Champion Innovation, Earn Trust, Be Agile, and Include All. Our team members are inspired by the opportunity to improve patient lives and lower the cost of healthcare. We hire talented team members, and support their growth with comprehensive benefits, training, and policies to achieve a healthy work/life balance. Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system! Data Scientist: Emeryville, CA POSITION SUMMARY: The Data Scientist/Senior Data Scientist/Lead Data Scientist will be responsible for supporting Artificial Intelligence, Machine Learning, and Data Science solutions for Change Healthcare, reporting to an AI Lead under the Office of the Chief Data Officer. We’re looking for data scientists with a passion for artificial intelligence to help drive a new generation of data and machine learning enabled services and products to impact healthcare. You will enjoy working with a highly talented and diverse team of data scientists specializing in deep learning, active learning, and classical machine learning, one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to see your insights turned into real products. The ideal candidate will have a background in machine learning, have experience working with large data sets, and have some experience in building and deploying data-driven solutions. You are focused on results, a self-starter, able to put the team-first, and have demonstrated success in using data science to develop and deploy solutions with a focus on impact. You also are able to rapidly prototype new ideas and methods in notebooks and deliver quality code that is testable and concise. RESPONSIBILITIES: Working alongside a team of data scientists, data engineers, software engineers, architects, and with business partners, you are able to focus on the problem at hand and identify new insights from our data. Working towards a common goal, contribute to the team to deliver new solutions, enhancements, or AI-based products that rapidly deliver impact to the company. Have a focus on projects that have a direct impact while increasing our overall group expertise in new and emerging domains. JOB QUALIFICATIONS Passion for learning and innovating new methodologies at the intersection of applied math / probability / statistics / computer science.  Proficient in translating unstructured business problems into an abstract mathematical framework BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field Fluency in Python. Python3 experience preferred Spark or Pyspark experience preferred Ability to write queries in SQL is preferred, but generally not a common task. Ability to deliver prototypes in both Jupyter or Zeppelin notebooks, as well as creating packages for cross-team utilization that can be invoked via pip install Ability to initiate and drive projects to completion with minimal guidance The ability to communicate the results of analyses in a clear and effective manner Preferred experience with tools such as H2O, SparkML, some TensorFlow experience Experience with large data sets and distributed computing (Spark) Experience in AWS or GCP using tools such as EMR, S3, EC2, Deep Learning AMI’s, SageMaker Preferred Qualifications PhD or MS degree in statistics, mathematics, physics, engineering, machine learning or related field 4+ years relevant experience with a proven track record of leveraging machine learning or AI to drive significant business impact Expertise and experience in AI system development Advanced experience in text or sequence data using deep learning techniques, such as CNN’s, RNN’s, LSTM’s, RELU’s, embeddings, seq2seq models, word2vec, Dropout, etc. Backend deep learning experience using Python-based deep learning implementations such as Tensorflow or Keras, but also supportive of tools such as Chainer, PyTorch, MXNet, etc. Above average capabilities with cloud computing techniques or tools such as S3, EC2, EMR, SageMaker, ECS, Docker, Gitlab CI, Python packaging, command-line executions and shell scripting Knowledge of common data structures and ability to write efficient code in Python. Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives) INSPIRING A BETTER HEALTHCARE SYSTEM Change Healthcare is one of the largest, independent healthcare technology companies in the United States. We are a key catalyst of a value-based healthcare system – working alongside our customers and partners to accelerate the journey towards improved lives and healthier communities. We provide software and analytics, network solutions and technology-enabled services that help our customers obtain actionable insights, exchange mission-critical information, control costs, optimize revenue opportunities, increase cash flow and effectively navigate the shift to value-based healthcare. Our solutions enable improved efficiencies and insights for all major stakeholders across the healthcare system, including commercial and governmental payers, employers, hospitals, physicians and other providers, laboratories and consumers. Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system! Equal Opportunity/Affirmative Action Commitment All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Change Healthcare 2.7

Emeryville, CA

Nashville, TN

10000+ employees

Company - Public

IT Services

Information Technology

Unknown / Non-Applicable

-1

Change Healthcare

CA

Data Scientist

$108K-$146K (Glassdoor est.)

Build the future of mobile games with MZ! As a global leader in mobile gaming, we’re dedicated to developing games the world can’t wait to experience. Games like Final Fantasy XV: A New Empire, Mobile Strike, and Game of War: Fire Age. We build massive mobile games that break down linguistic and geographic barriers by uniting an unprecedented number of global players in one gaming world. Our team pushes the boundaries of innovation in a player-driven ecosystem. As a studio, we are masters of our own destiny, untethered by the traditional publisher model. Every update and feature creates amazing experiences for millions of players! _______________________________ As a member of the Data Science team, you will develop and investigate hypotheses, structure experiments and build mathematical models to identify game optimization points that will encourage users to play our games more often, over longer periods of time, resulting in higher lifetime values. We are looking for a sharp, disciplined, and highly quantitative individual who has a passion for mobile gaming, data mining and mathematical modeling. We are building a unique technology platform dedicated to the operation and real-time optimization of free to play games. We are changing the gaming industry! What you'll be doing: Build mathematical models and automated machine learning tools to analyze and optimize all aspects of MZ Game Studio games, providing actionable insights in real-time Understand the competitive marketplace, business issues, and data challenges in order to deliver actionable insights, recommendations, and business processes Design and implement experiments to test various hypotheses Work in a collaborative team environment with other highly skilled specialists in gaming, statistics, machine learning, and engineering Influence development teams to implement tools, features and/or designs - success is measured in % monetizing, retention, time spent in the game, and lifetime value Research new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team Work with members of Data Science team to deliver high impact AI/ML products. Your background and who you are: ~3 years of experience in quantitative analysis, specific experience with social games or mobile apps strongly preferred Bachelor's or higher in Applied Math, Statistics, Computer Science or a related field. Graduate degrees preferred Strong analytical and quantitative problem solving ability Solid understanding of statistical modeling / predictive analysis/ machine learning / data mining / recommender system concepts Proficient with Hadoop and Spark Proficient with Python or Scala for model development under Spark Proficient with R, Python or equivalent for data modeling and analysis Proficient with SQL Strong product sense, exceptional in project management, strong presentation and communication skills Ability to prioritize and track multiple projects in parallel MZ is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law. Privacy Notice for California Candidates #LI-POST

MZ 3.4

Palo Alto, CA

Palo Alto, CA

501 to 1000 employees

Company - Private

Internet

Information Technology

Unknown / Non-Applicable

-1

MZ

CA

Data Scientist

$65K-$106K (Glassdoor est.)

About Us: Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world's largest technology firms and the fastest growing companies accelerate their sales, marketing, and strategy efforts. We offer a casual yet professional environment. Get your sweat on at one of our fitness classes or go for a run along the beach which is two blocks away. You can find employees riding bikes to lunch in the funk zone or hanging out in one of our collaboration spaces. We are passionate about our jobs with a get-it-done attitude, yet we don't take ourselves too seriously. What You'll Do: We are looking for a data scientist with software development or data engineering background to join our research team which reports directly to the CTO. We are a rapidly growing company with small focused engineering teams that deliver innovative features to a fast growing market. We build big-data systems utilizing cutting edge technologies and solutions that allow for our engineers to continuously learn and develop while shipping amazing products. Qualities/ Experience: Self-learner, hacker, technology advocate who can work on anything Amazing engineering skills, you're on your way to being the one of the best engineers you know You can architect, design, code, test, and mentor others Experience working with interesting and successful projects Thrive in a fast growing environment Excellent written and spoken English communication An interest in Machine Learning and Natural Language Processing What You'll Be Responsible For: Build solutions for text classification, entity linking, and entity extraction and other related projects Scaling machine learning and NLP projects to run against large datasets in virtualized environments. You will collaborate with Product Development Teams to build the most effective solutions You will develop features in our databases, backend apps, front end UI, and Data as a Service (DAAS) product You will help architect and design large scale enterprise big-data systems You will work on ideas from different team members as well as your own Fix bugs rapidly Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at a rapid pace What You'll Need: BS, MS, or Ph.D. in Computer Science or related technical discipline Experience Natural Language Processing, preferably in a commercial setting. Experience building Logistic Regression Models Proficient in Python and Jupyter as well as related data science libraries (such as Scikit-learn, NLTK, SpaCy, Tensorflow) Proficient in Java or Scala (3+ years experience recommended) Experience with MySQL, ElasticSearch, ESB, Hadoop, Spark, or other related data processing/database technologies Experience with Amazon Web Services (EC2, S3, RDS, EMR, ELB, etc.) Experience with web services using REST in Java Actual coding experience in large distributed environments with multiple endpoints and complex interactions Comfortable in an agile development environment Understanding and have real world experience using design patterns Comfortable programming on a Mac with Intellij and other tools HG Insights Company is an Equal Opportunity Employer Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights

HG Insights 4.7

Santa Barbara, CA

Santa Barbara, CA

51 to 200 employees

Company - Private

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

-1

HG Insights

CA

Data Scientist

$55K-$98K (Glassdoor est.)

Description The Data Scientist will be part of the Enterprise BI team at , Inc. This individual will manage one or more analysts and focus on customer-level advanced analytics for the direct-to-consumer and business-to-business channels. Responsibilities include, but are not limited to: As a hands-on analytics leader, deliver actionable insights while prioritizing and managing the workload of junior analysts Collaborate with business owners and propose appropriate analytics solutions to address critical business questions Create Tableau dashboards to empower business owners Develop advanced analytics solutions to address some open business questions, e.g., Multi-Brand Customer Segmentation Next Best Offer/ Next Best Brand Channel Attribution Customer Retention Requirements Key Competencies: Strong analytical mind, problem-solving skills and foundation in Statistics Ability to collaborate well with individuals on-site and in remote offices Intermediate to advanced level of expertise using SAS, SQL, Tableau, Python Outstanding analytical skill set: a clear expert in the Analytics/ Data Science field Experience working with large volumes of data, combining and reconciling data from different sources Experience in MS Office applications with very strong Excel skills Requirements: Minimum B.S. in Mathematics, Statistics, Data Analytics or related quant field 5+ years in a similar analytical role generating insights through data analytics Strong communication skills: both written and verbal Ability to work independently on multiple concurrent assignments Self-driven for continual learning and ongoing training/development Highly organized, detail-oriented About Us , Inc. is a leading provider of gifts for all celebratory occasions. For the past 40 years, has been helping deliver smiles to customers with a 100% Smile Guarantee backing every gift. The , Inc. family of brands also includes everyday gifting and entertaining products from Harry & David, The Popcorn Factory, Cheryl's Cookies, , Wolferman's, Moose Munch premium popcorn, Personalization Universe, Simply ChocolateSM, and SM. The Company also offers top-quality steaks and chops from Stock Yards and gift baskets and towers from its DesignPac Gifts, LLC division. Loyalty programs, such as Celebrations Passport, Celebrations Rewards and Celebrations Reminders are designed to deepen relationships with customers across all brands. The Company's BloomNet international floral wire service and Napco SM floral gifts and seasonal dcor division provide a broad-range of products and services designed to help professional florists grow their businesses profitably. , Inc. was named to the Stores 2017 Hot 100 Retailers List by the National Retail Federation and also received the Gold award in the Best Artificial Intelligence category at the Data & Marketing Association's 2017 International ECHO Awards. Shares in , Inc. are traded on the NASDAQ Global Select Market, ticker symbol: FLWS.

1-800-FLOWERS.COM, Inc. 2.8

Carle Place, NY

Carle Place, NY

1001 to 5000 employees

Company - Public

Wholesale

Business Services

$1 to $2 billion (USD)

-1

1-800-FLOWERS.COM, Inc.

NY

Data Scientist

$94K-$162K (Glassdoor est.)

REF#: 36469 CBS BUSINESS UNIT: CBS Interactive JOB TYPE: Full-Time Staff JOB SCHEDULE: JOB LOCATION: New York, NY ABOUT US: CBS Interactive is the premier online content network for information and online operations of ViacomCBS as well as some of the top native digital brands in the entertainment industry. Our brands dive deep into the things people care about across entertainment, technology, news, games, business and sports. With over 1 billion users visiting our properties every quarter, we are a global top 10 web property and one of the largest premium content networks online. Check us out on [1] The Muse, [2] Instagram and [3] YouTube for an inside look into 'Life At CBSi' through employee testimonials, office photos and company updates. References Visible links https://www.themuse.com/companies/cbsinteractive https://www.instagram.com/cbsinteractive/?hl=en https://www.youtube.com/channel/UCAvGapyifCtUlmNTagAl_sQ DESCRIPTION: Division Overview: The Data technology team is an agile and dynamic group who is passionate about developing reliable data platform to facilitate internal groups to process data more efficiently. Our team collaborates across number of business units to design and implement reusable frameworks for different data teams. We use Google Cloud Platform to process large volumes of data from multiple vendors enabling our BI, Yield, Finance and marketings teams to focus on data-driven insights. Role Details: The Data Scientist will work with different groups such as BI, Data Engineering, Machine Learning, Finance, Yield and Audience Acquisition and explore opportunities to automate the processes, develop models relevant to each business for optimizing and improving the revenue streams. Your Day-to-Day: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Collaborate with data engineers to integrate with new data sources, design and implement data transformation, aggregation and reporting systems. Conceptualize, implement and scale statistics and machine learning models that help enhancing user engagement and optimize site monetization. Building and maintaining internal data products that supports other data driven partner teams. Key Projects: Maintaining and enhancing site traffic and revenue KPI monitoring, alerting & root cause analysis system. Creating forecast models to improve ad inventory management and optimization processes Provide critical reporting, visualizations and analysis for revenue operations, finance and accounting teams. \#LI-JG1 QUALIFICATIONS: What you bring to the team: You have - Bachelors Degree in Computer Science, Mathematics, Statistics or similar technical fields. Strong problem solving skills and ability to understand business problems and translating them into data science / data engineering design specs. Strong proficiency in using Python for data manipulation and exploratory analysis. Ability to write complex SQL to perform common types of analysis and aggregations Experience with statistical analysis and time series modeling. Knowledge of a variety of machine learning techniques (clustering, regression, decision tree learning, neural networks, etc.) and understand their real-world advantages and trade-offs. Experience implementing and deploying statistics and machine learning models. You should be familiar with libraries like Pandas, Numpy/Scipy, Statsmodels, Scikit-learn and Keras / Tensorflow You might also have - Graduate degree preferred Experience with web analytics e.g. Adobe Analytics and Google Analytics Experience with full stack engineering, Python web frameworks such as Django or Flask Experience with solutions that process data at scale, e.g. Hadoop, Spark, Google BigQueryor Redshift Familiar with a NoSQL database such as MongoDB Familiar with version control systems (Git and Github/Bitbucket) Familiar with cloud infrastructure especially GCP (Google Cloud Platform) Experience with Docker Experience with BI software like Tableau EEO STATEMENT: Equal Opportunity Employer Minorities/Women/Veterans/Disabled

CBS Interactive 3.5

New York, NY

San Francisco, CA

1001 to 5000 employees

Subsidiary or Business Segment

TV Broadcast & Cable Networks

Media

$500 million to $1 billion (USD)

NBCUniversal, Comcast, Netflix

CBS Interactive

NY

Data Engineer

$63K-$120K (Glassdoor est.)

SUMMARYData Analytics team is looking for a smart, data-savvy data engineer to help us re-invent our data and analytics platforms. You should have a deep passion for understanding and solving data issues and bring logic, enthusiasm and an analytical approach to work issues. RESPONSIBILITIES Drive engineering efforts to design, develop, and test data-driven solutions Drive the optimization, testing and tooling that will improve data quality Improve performance, availability and scalability of our backend systems Partner with engineering, product and operations teams to design tech solutions Utilize CI/CD throughout the development, automation and testing lifecycle Deliver updates in different backend components and Contribute strategy and tactics to the long-term roadmap for enterprise data strategy REQUIREMENTS 3+ years’ experience building large scale big data applications in a business setting Excellent SQL and database knowledge Ability to pull data from disparate sources, (RDBMS, Excel), and deliver to Cloud data lake Hands-on experience with Python, Ruby, Scala, and/or Java. Knowledge/experience using AWS, Snowflake or other Cloud technology Proficient with Linux commands and environments Demonstrated ability to learn new languages. Bachelor’s degree in an analytic or technical field, (Math, Stat, Computer Science, etc.) PREFERENCES Hands-on experiences with data processing, reporting or analysis tools Experiences with Hadoop/Spark/Kafka/Presto/etc.

Numeric, LLC 3.2

King of Prussia, PA

Chadds Ford, PA

1 to 50 employees

Company - Private

Staffing & Outsourcing

Business Services

$5 to $10 million (USD)

-1

Numeric, LLC

PA

Scientist/Senior Scientist, Autoimmune

$90K-$179K (Glassdoor est.)

Rubius Therapeutics is a clinical-stage biopharmaceutical company that is generating red blood cells and engineering them into an entirely new class of allogeneic, off-the-shelf cellular medicines. Our Red Cell Therapeutics™ can potentially be used to replace missing enzymes for patients living with rare enzyme deficiencies, kill tumors in cancer and regulate the immune system for the treatment of autoimmune diseases. We expect to begin enrolling patients in our first clinical trial during the first half of 2020, which is evaluating RTX-134 for the treatment of phenylketonuria, an inherited metabolic disorder. Additionally, we have filed our first oncology IND for RTX-240 for the treatment of solid tumors. We plan to file an IND for RTX-321 for the treatment of HPV-Positive Tumors by year-end. We are proud of our passionate, high-performance culture – one based on a set of values that are the cornerstone of who we are and how we hold ourselves accountable. Founded in 2013, we are based in Cambridge, MA and currently expanding across all functions within the organization. Having completed our initial public offering in July 2018, (Nasdaq: RUBY), we are well capitalized to execute our vision of creating life-changing cellular medicines. Red blood cells are no longer just for carrying oxygen. Check us out at www.rubiustx.com or follow us on Twitter and LinkedIn. Summary We are looking for a Senior Scientist/Scientist to join our Autoimmune group to help drive key autoimmune programs. The candidate must be independent, goal oriented, technically competent and able to efficiently work across multiple projects. We are searching for enthusiastic, innovative, and highly motivated individuals, with deep scientific background in immunology, preferably autoimmune diseases, who are comfortable working in a fast-paced entrepreneurial environment. Responsibilities Work closely with a team of scientists in the Discovery teams to drive key autoimmune projects. Design and execute experiments for non-routine in vitro immune assays, in vivo studies, and ex vivo assays. Phenotyping immune populations, sample preparation for in vivo studies, sample analysis. Independent data analysis and proper electronic notebook record keeping. Communication of experimental plans and data to multiple cross-functional scientific teams. Support the continued protection, creation, and expansion of company’s intellectual property. Assist in maintaining a strong, entrepreneurial and creative culture with a clear sense of urgency and focus on providing transformational therapies to patients. Qualifications & Education Ph.D. degree in biology, immunology, biochemistry, bioengineering or related discipline and 2+ years of relevant laboratory experience, pharmaceutical or biotechnology industry preferred. Deep knowledge of immunology, preferably DC and T cell biology, and systematic approach to understanding inflammatory and tolerance molecular mechanisms. Research background in autoimmune disease. Strong experimental skills, including tissue culture, isolation and culture of primary immune cells, primary immune cell assays, flow cytometry, ELISA, and in vivo model development. Passionate about working at the bench to independently contribute to research directions and solve challenging issues. Detail oriented, self-motivated, and comfortable working with highly technical projects and personnel. Ability to work on multiple projects simultaneously and deliver conclusive results. Highly adaptable and responsive to delivering for challenging commitments. Effective written and oral communication skills. Team oriented with strong work ethic. EEO Statement: Rubius Therapeutics is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Recruitment & staffing agencies: Rubius Therapeutics does not accept agency resumes unless contacted directly by internal Rubius Talent Acquisition. Please do not forward resumes to our careers@rubiustx.com account, Rubius employees or any other company location; Rubius Therapeutics is not responsible for any fees related to unsolicited resumes.

Rubius Therapeutics 4.4

Cambridge, MA

Cambridge, MA

201 to 500 employees

Company - Public

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

$100 to $500 million (USD)

-1

Rubius Therapeutics

MA

Data Scientist

$127K-$202K (Glassdoor est.)

Samba TV is uniquely positioned at the forefront of the TV revolution. The way people discover, watch, and engage with television has fundamentally changed, and we're connecting the dots to help better understand audience trends and viewership habits for marketers. We are changing how industry leaders and consumers think about TV, and we're looking for a Data Scientist who is not afraid to challenge the status quo and would like to make a meaningful impact on our innovative products. Responsibilities Data Scientists at Samba TV work closely with Product, Engineering, and other teams on a variety of projects, including but certainly not limited to: Improving our core viewership algorithms and defining metrics to estimate the impact those changes Using statistical methodologies to estimate the effectiveness of our clients' advertising campaigns while controlling for confounding factors Building predictive models that extend our data to all TV watchers, both in the US and abroad Qualifications You likely, but not necessarily, have an educational background in a quantitative discipline such as statistics, computer science, physics, or econometrics. However, data scientists come from a wide range of backgrounds, so consider applying if you have experience doing the following: Turning vague and ambiguous problems into an actionable sequence of steps Using probability, statistics, predictive modeling, machine learning, or other quantitative methodologies to solve real-world problems Writing understandable and replicable code to work with data Explaining complex concepts to both technical and non-technical audiences Recommending next steps based on your findings

Samba TV 3.3

San Francisco, CA

San Francisco, CA

201 to 500 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

-1

Samba TV

CA

Software Engineer - Data Visualization

$60K-$127K (Glassdoor est.)

Join ClearEdge and be a part of the team of men and women that solve some of the DoD’s most complex technical challenges. Every day, ClearEdge empowers customers in government and industry with innovative data driven solutions. Check out our extremely competitive benefits package at clearedgeit.com/benefits. Your mission: Work with a dynamic team and key stakeholders to generate and execute challenging solutions to mission problems. We are seeking Software Engineers of all levels who are experienced with data visualization, interactive data-driven visualizations, and user interface design. The position requires a self-starter with excellent problem-solving skills. The right person will work closely with the customer to gather requirements for the design and development of data visualization software, techniques, and algorithms. The candidate should have experience creating and building custom, re-usable data visualizations based on statistical and mathematical modeling and data analysis to be used to solve a variety of problems related to data reporting. Seeking engineers with the ability to overcome information overload, are familiar with accessibility compliance, information design, and human factors and usability design. You will excel in this role if you are: Results-oriented developer who can leverage your technical skills and techniques to successfully design, develop, and deploy analytic software solutions Self-motivated with a desire to build new skills Are familiar with Agile frameworks and methodologies with a desire to be a certified SCRUM Master Enjoy learning new technologies, are a forward thinker, and are interested in growing your career with a cutting-edge technology company A day in the life: (just a few of the things you may do on any given day) You will be joining a high-performance team for an established and growing employee-focused company. This involves: Designing, developing, and deploying data visualizations, interactive dashboards, and user interface solutions Applying knowledge of technical computing platforms, tools, and techniques to analyze information and data requirements obtained from data scientists, analysts, and other business stakeholders Planning and proposing solutions for the optimization of data integration strategies, intuitive designs, and enterprise interactive dashboards Formulating simulation models of operational problems and proposed solutions related to integrating and analyzing using dynamic data visualizations that incorporate intuitive interfaces, infographics, interactive drill-downs, movements Working across multi-functional teams to formulate, prototype, implement, and fine tune solutions Educating product development and operations teams on the use of data visualizations developed Collecting feedback to make continuous improvements to new and existing data visualizations Contributing to guidelines and design conventions and standards for modeling and data visualizations Establishing strong, collaborative working relationships with Government customers, technical staff, and peers What we are expecting from you (i.e., the qualifications you must have) Experience in the design, development, and deployment of software systems Bachelor’s or Advanced degree in Computer Science, Computer Engineering, or other technical discipline Front-end application frameworks such as Vue, React, Angular HTML/CSS frameworks such as Bootstrap, Zurb, Material Experience developing client-side applications using JavaScript JavaScript libraries such as Bootstrap, jQuery, Leaflet, D3.js Strong analysis and problem-solving experience Nice to Have Comfortable meeting with customers and peers to explore change requests, bugs and new ideas Customer technical support experience Documentation experience, to include up-front design documentation About us: Experienced advanced analytic development company providing new cyber solutions to current and emerging missions Our Core Values of Honesty, Integrity, Loyalty, Fairness, Respect, Responsibility, and Accountability drive our mission and vision and are the heart of what we do each day. We combine our Core Values with the three key elements of people, technology, and integrity to repeatedly deliver stellar results within our primary competencies. ClearEdge is also pleased to share that we have recently expanded our prime and subcontract presence into new cyber markets! If this position does not fit your skillset, please visit our Careers page to explore our current openings, or contact a ClearEdge recruiter at careers@clearedgeit.com. ClearEdge is an equal opportunity employer.

ClearEdge 4.0

Annapolis Junction, MD

Annapolis Junction, MD

51 to 200 employees

Company - Private

Computer Hardware & Software

Information Technology

$5 to $10 million (USD)

-1

ClearEdge

MD

Market Data Analyst

$31K-$57K (Glassdoor est.)

We are seeking a creative, data driven Marketing Analyst to join our fast paced, growing organization. Candidate is responsible for researching product and manufacturing trends, evaluating campaign results and making recommendations for growth and operating efficiency improvements to our management team. The ideal candidate will have experience with complex data mining/analysis and implementation. This is a growth position with upward mobility. Complete benefit package includes medical, dental, vision life insurance, student loan repayment assistance and a 401(k) company matched contribution. Responsibilities: Evaluate market trends and patterns to suggest new & complementary products Manage Distribution Price List and analyze market data to identify cause and effect relationships Evaluate product, pricing, placement (distribution channels) and promotion (advertisements/marketing campaigns) and present recommendations to management Work closely with Distribution Channel Partners to grow market share in under-represented markets Examine return on investment of marketing campaigns Travel to customers and industry events to gather market intelligence Visit other Amphenol Business Units domestically and internationally to learn best-practices and facilitate implementation internally Work closely with Sales and Marketing to track competitive landscape and market trends Requirements: Undergraduate or Masters degree in Marketing, Business, Engineering or related field Demonstrated aptitude for analytics Proven record of leadership in a work setting and/or through extracurricular activities Exceptional analytical and quantitative problem-solving skills Ability to work collaboratively in a team environment Ability to work effectively with people at all levels in an organization Preferred: 1-3 years of experience in a fast-paced global manufacturing environment “An Equal Opportunity Employer” Minority/Female/Disabled/Vet/Sexual Orientation/Gender Identity or National Origin" Drug free workplance. ITAR - The candidate must be able to legally work in the United States; we are unable to provide sponsorship. Position requires candidate to be a US Person as defined in ITAR, 22 CFR 120.15 (US Citizenship or Resident Alien Status) and defined by 8 USC 1101(a) (20).

SV Microwave 3.4

West Palm Beach, FL

West Palm Beach, FL

201 to 500 employees

Company - Public

Telecommunications Manufacturing

Telecommunications

$50 to $100 million (USD)

-1

SV Microwave

FL

Staff Data Engineer

$105K-$194K (Glassdoor est.)

Sumo Logic: Staff Data Engineer What we do: We are a cloud-native SaaS machine data analytics platform, solving complex monitoring problems for DevOps, SecOps and ITOps teams. Customers love our product because it allows them to easily monitor and optimize their mission critical, large scale applications. Massive Scale: Our microservices architecture in AWS ingests hundreds of terabytes daily across many geographic regions. Millions of queries a day analyze hundreds of petabytes of data. At Sumo Logic, we are building a data platform designed to power the analytics and investigations that are common in the Security Operation Centers of large enterprises. It is designed to accept hundreds of billions of events from security-relevant data sources (detection products, network sensors, log shippers, inventory systems) per day. It is cloud-native, with no plan to support an on-premise deployment. It is multi-tenant, and is designed to simultaneously process events from thousands of our customers. And, it is security-focused — it is designed to perform the kinds of stateful analyses that security analysts demand. We are building this platform the way startups should — with ruthless prioritization, and with a live and demanding customer base. By joining as a Data Engineer, you have the opportunity to make our vision a reality, one feature at a time. What You Will be Doing Building, improving, maintaining, and scaling stream processing services. Writing code. Reviewing code. Revising code. Giving feedback on our standards. Holding your team mates to them. Collaborating with teammates on major feature designs. Sometimes, you will own features, sometimes others will. Helping our team grow organically. We value referrals. We value your feedback on candidates. Who You Are You are a software engineer. (We treat our data systems as software systems, and engineer them accordingly.) You love working with data. (Small data. Big data. All the data.) You are excited to optimize for events per second (not requests per second). You have experience working with (or, at minimum a desire to work with) the technologies we use: Kafka, RocksDB, ElasticSearch, JanusGraph, Postgres, Spark, HBase. You know (or want to write software in) Scala. You love collecting data about your software as much as writing software that collects data. We measure everything. We make data-driven decisions. You are collaborative. Nothing this hard can be accomplished by working alone. We work as a team. Masters in Computer Science or equivalent experience (PHD in CS is a huge plus) About Us Mission: Democratize machine data analytics through the Sumo Logic platform, bringing real-time data insights securely through the cloud. Funding and Growth: We have raised $345 million in funding to date, with the most recent round being May 2019. Investors include Battery Ventures, Greylock Partners, Sutter Hill Ventures, Accel Partners, Sequoia Capital, Sapphire Ventures and DFJ Growth. Our recurring revenue and customer base are growing steadily. We serve over 2,000 customers across the globe including Alaska Airlines, Anheuser Busch, Hootsuite, Hearst, Hudl, Major League Baseball, Marriott, Medidata, Sauce Labs, Samsung SmartThings, SPS Commerce, Twitter, Telstra, Toyota, Zuora and more.

Sumo Logic 3.8

Austin, TX

Redwood City, CA

501 to 1000 employees

Company - Private

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

Splunk, Datadog, Elastic

Sumo Logic

TX

Associate Data Engineer

$45K-$86K (Glassdoor est.)

About EAB At EAB, our mission is to make education smarter and our communities stronger. We harness the collective power of 1,600+ schools, colleges, and universities to uncover and apply proven practices and transformative insights. And since complex problems require multifaceted solutions, we work with each school differently to apply these insights through a customized blend of research, technology, and services. From kindergarten to college and beyond, EAB partners with education leaders, practitioners, and staff to accelerate progress and drive results across three key areas: enrollment management, student success, and institutional operations and strategy. At EAB, we serve not only our partner institutions but each other—that's why we are always working to make sure our employees love their jobs and are invested in their community. See how we've been recognized for this dedication to our employees by checking out our recent awards. For more information, visit ourCareers page. The Role in Brief: Associate Data Engineer Are you a data enthusiast who seeks to tease out meaning from complex data flows and assets? Are you a talented problem solver who can transform abstract problems into elegant technical solutions? We are looking for a Data Modeler to join our team of engineers and data analysts focused on designing, creating, and delivering data solutions as part of our state-of-the-art cloud based products. The successful candidate will have the opportunity to build a world-class solution to help our higher education partners solve challenging problems through data. This role is based in Washington, DC. Primary Responsibilities: Responsible for data modeling and schema design that will range across multiple business domains within higher education Partner with multiple stakeholders including partners, new product development, BI engineers to develop scalable standard schemas Work with partners to research and conduct business information flow studies Codify high-performing SQL for efficient data transformation Coordinate work with external teams to ensure a smooth development process Support operations by identifying, researching and resolving performance and production issues Basic Qualifications: 1+ years of experience working with relational or multi-dimensional databases Experience developing logical data models within a data warehouse Experience developing ETL processes Demonstrated mastery in one or more SQL variants: PostgreSQL, MySQL, Oracle, SQL Server, or DB2 Demonstrated mastery in database concepts and large-scale database implementations and design patterns Proven ability to work with users to define requirements and business issues Excellent analytic and troubleshooting skills Strong written and oral communication skills Bachelor’s degree in Computer Science or Computer Engineering Ideal Qualifications: Experience working in an AGILE environment Experience developing commercial software products Experience with AWS data warehouse infrastructure (redshift, EMR/spark) GIT expertise Master’s degree in Computer Science or Computer Engineering Benefits: Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Medical, dental, and vision insurance; dependents and domestic partners eligible 401(k) retirement plan with company match 20+ days of PTO annually, in addition to paid firm holidays Daytime leave policy for community service or fitness activities (up to 10 hours a month each) Paid parental leave for birthing or non-birthing parents Phase Back to Work program for employees returning from parental leave Infertility treatment coverage and adoption or surrogacy assistance Wellness programs including gym discounts and incentives to promote healthy living Dynamic growth opportunities with merit-based promotion philosophy Benefits kick in day one, see the full details here. At EAB, we believe that to fulfill our mission to “make education smarter and our communities stronger” we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard. To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don’t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

EAB 3.5

Washington, DC

Washington, DC

1001 to 5000 employees

Company - Private

Research & Development

Business Services

Unknown / Non-Applicable

-1

EAB

DC

Data Engineer

$75K-$143K (Glassdoor est.)

About SpringML At SpringML, we are all about empowering the doers in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to todays most pressing business problems so customers get insights they can trust to drive business growth. We are a tight knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include putting our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth and execution. If you share similar traits, we want you on our team. Whats the opportunity? SpringML is looking to hire a topnotch Data Engineer who is passionate about working with data and using latest distributed framework to process large dataset. As a Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets. In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team member will be part of the core team and play a critical role in scaling up our emerging practice. Responsibilities Ability to work as a member of a team assigned to design and implement data integration solutions. Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open source solutions. Learn quickly ability to understand and rapidly comprehend new areas functional and technical and apply detailed and critical thinking to customer solutions. Propose design solutions and recommend best practices for large scale data analysis Desired Skills and Experience B.S. or equivalent degree in computer science, mathematics or other relevant fields. 5-10 years of experience in ETL, Datawarehouse, Visualization and building data pipelines. Strong Programming skills experience and expertise in one of the following: Java, Python, Scala, C. Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka, Experience with Agile implementation methodologies. Powered by JazzHR

SpringML 4.4

Herndon, VA

Pleasanton, CA

1 to 50 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

SpringML

VA

Staff Data Engineer

$126K-$228K (Glassdoor est.)

Title: Staff Data Engineer Company: Samsung Research America (SRA) Lab: VDI Location: Mountain View, CA or Irvine, CA Lab Summary: The Visual Display Intellegence Lab at Samsung Research America is building a next-generation data platform to support Smart TV products and services. With offices in Mountain View and Irvine, CA, we are close to a number of our collaboration partners. Our research and development include TV analytics, ads targeting, and personalized services. We ingest and process billions of records daily from millions of TVs in the field, and we are looking for an experienced professional to join our team on the development of an integrated data platform. At Visual Display Intelligence lab, Samsung Research America, we operate as a start-up while leveraging the broader assets of a larger global enterprise. We do advance research and development to immensely benefit our core business verticals in the space of Ads and Marketing. Our team primarily focuses on processing huge data sets, build robust and scalable big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build data services that are both real-time and batch based. All those combined provide the best-in-class experience to our customers across consumer electronics and internet of things. Many of our engineers take pride in publications, filing A-grade patents and build robust products and services. Position Summary: As a Staff Software Engineer you will primarily focus on building unified Audience platform by working directly with Product Managers, Lab leaders, researchers, Big data/AI/ML engineers, brainstorm different ideas and also build POCs and propose projects that cater to the broader business needs. If there is evinced interest to invest on those projects, you could lead them to fruition. You will help design data pipelines, maintain large scale distributed systems, help manage the modern data warehousing infrastructure, analyze key metrics for decision makers to provide visual insights that will change the company direction and benefit consumers. The ideal candidate will be someone who comes from a strong analytical background that has demonstrated experience in the following areas: Responsibilities Experience Requirements: Advance degree (MS/PhD) in the field of Computer Science, Information Systems, Mathematics, Statistics, etc. 5+ years utilizing Object Oriented design and programming with Scala/Python skills to design, develop, and maintain large-scale web applications (5+ years) 5+ years' experience with MySQL, Postgres, Cassandra, Redis, Redshift, OracleDB or MongoDB Data architecture skills 5+ years of experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Kafka, Flink etc.) 3+ years' experience with AWS in an enterprise environment Preferred Qualifications: BS, MS or PhD in Computer Science, Engineering or a related technical field Strong communication and inter-personal skills Experience with leading large-scale multi-engineer projects Samsung is an EEO/Veterans/Disabled/LGBT employer. We welcome and encourage diversity as we strive to create an inclusive workplace.

Samsung Research America 3.7

Mountain View, CA

Mountain View, CA

1001 to 5000 employees

Subsidiary or Business Segment

Computer Hardware & Software

Information Technology

$50 to $100 million (USD)

Sony, LG Electronics, Nokia

Samsung Research America

CA

Data Scientist

$80K-$134K (Glassdoor est.)

STR is a government research contractor specializing in advanced research and development for defense, intelligence, and homeland security applications. We pride ourselves in developing cutting-edge technologies with significant and immediate impact on our national security. Our product is our staff; we prioritize cultivating a team of driven and talented scientists and engineers that together culminate into a premier company. Every Analyst a Scientist - One of our primary goals is to empower intelligence analysts to be able to study their data like scientists. The tools we develop focus on streamlining intelligence analysis through integrated algorithms and software that provide insight into the geopolitical landscape for use in operational intelligence missions around the world. The Role: As a Data Scientist, you will live by our motto that “Data is Destiny.” You will work with a diverse collection of massive datasets, including social media, structured and unstructured text, geospatial, time series, and imagery data. You will design, test, and validate statistical tests and machine learning models in support of cutting-edge problems in the national security space. Your expertise as a data scientist will aid a diverse team of researchers to build state-of-the-art tools and technologies that are deployed to extract and enrich intelligence used by analysts. If you would like to help intelligence and defense analysis keep pace with modern machine learning and software techniques, then this role is for you! Who you are: A degree in a scientific field such as Statistics, Mathematics, or Computer Science Experience in statistical modeling including performance evaluation and uncertainty quantification Proficiency with a scientific programming language, preferably Python, and familiarity with Numpy, Pandas, and/or Scikit-learn packages Experience in grooming sparse, incomplete, and noisy datasets Motivated collaborator and an excellent communicator of ideas to both technical and non-technical audiences US citizen and willing to obtain a U.S. Security Clearance Even better: MS or PhD in a scientific field such as Statistics, Mathematics, Computer Science, or Data Science or 2+ years of relevant work experience Familiarity with handling and analyzing data at scale, for example using Hadoop, Dask, Spark, and MapReduce Working knowledge of data store tools such as SQL and Elasticsearch, and experience interacting with databases Experience with deep learning and neural network training, testing, and evaluation with fluency in Tensorflow or PyTorch Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming Active U.S. Security Clearance Compensation: Competitive salary Comprehensive benefits (Medical, Dental, Vision, Disability, Life) 401k company match Competitive and flexible paid time off Continued higher education reimbursement Profit sharing (Additional match to 401k) Phone reimbursement plan And more! STR is dedicated to fostering a diverse and inclusive workforce where all employees, regardless of race, ethnicity, gender, neurodiversity, or other personal characteristics, feel valued, included, and empowered to achieve their best. We recognize that each employee’s backgrounds, experiences, and perspectives are essential for providing our customers with innovative solutions to challenging national security problems. STR’s commitment to attracting, retaining, and engaging talented and diverse professionals is demonstrated by our participation, sponsorship, and support in local and national minority organizations. Applicants must be US Citizens.

Systems & Technology Research 4.7

Arlington, VA

Woburn, MA

201 to 500 employees

Company - Private

Aerospace & Defense

Aerospace & Defense

$100 to $500 million (USD)

-1

Systems & Technology Research

VA

Data Scientist

$120K-$189K (Glassdoor est.)

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at netskope.com/company/careers and follow us on Twitter @Netskope and Facebook. Data Scientist Within Netskope Engineering, the Security Services organization is responsible for building core security products and features, such as Data Loss Prevention, Malware and Threat Prevention, Cloud Confidence Index, Breach and Anomaly Detection. We apply Artificial Intelligence and Machine Learning technologies across Netskope cloud security platform. We are looking for talented data scientists with security domain knowledge. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, ideally has been through the entire lifecycle of an award winning security product, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers and data scientists to solve the most challenging cloud security problems. Responsibilities: Identify strong AI/ML use cases in cloud security, data security and adjacent domains, leveraging Netskope's rich set of data sources; Define scalable data acquisition and labeling strategy for specific use cases; Work with data engineers to retrieve, clean and normalize data. Ensure scalable and continuous high-quality data stream; Work closely with threat research and development team in feature engineering. Make sure high-quality feature sets are chosen in a systematic way; Select ML models for defined use cases. Implement KPIs to ensure optimal algorithms and results; Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate; Interpret results and communicate findings; Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity and other important aspects; Work closely with development and QE team in productization; Be an evangelist of AI/ML within Netskope. Promote AI/ML wherever applicable, beyond security use cases; Collaborate with data analytics team to define new platform requirements and continuously improve our horizontally scalable data lake. Qualifications/Requirements: First of all, must have true startup spirit. Be willing to wear multiple hats and deliver end-to-end; Ability of thinking out-of-box and evaluating results based on customer value; 5+ years of industry experience in applying AI/ML, preferably on well-known security products or services, such as malware detection, anomaly detection, security analytics and data security; Experience of applying AI/ML in more than one domains highly desirable; Hands-on experience with relevant technology stacks such as CUDA, Python, R, Spark, Flink, Tensorflow; Hands-on experience using modern big data pipeline; Natural language process (NLP) and data mining experience highly desirable; Security research experience and strong security domain knowledge highly desirable; Energetic self-starter, with the desire to work in a dynamic fast-paced environment; Excellent verbal and written communication skills; Ability to influence without authority Education: PhD in Computer Science, Statistics, Electrical Engineering or equivalent technical degree. #LI-NW1

Netskope 4.1

Santa Clara, CA

Santa Clara, CA

501 to 1000 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

Skyhigh Networks, Zscaler, NortonLifeLock

Netskope

CA

Data Scientist

$85K-$142K (Glassdoor est.)

You must have experience in build and evaluate predictive and decision models to be deployed in production systems, or for research. You should have experience with one or more statistical or machine learning software such as R, Python. You should have experience in analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, selection of sampling criteria, generating performance definitions and variables. You must have experience to Conducting experiments with different types of algorithms and models, analyzing performance, to identify the best algorithms to employ. Architect and develop operational models that run at scale thru partnership with data engineer teams. You should be background in applied statistical modeling on large experimental or observational data sets. Must have experience extracting data from a variety of sources, and a desire to expand those skills (working knowledge SQL is required, Spark is a plus).

Lorven Technologies Inc 4.0

Santa Clara, CA

Plainsboro, NJ

1 to 50 employees

Company - Private

Accounting

Accounting & Legal

Less than $1 million (USD)

-1

Lorven Technologies Inc

CA

Senior Data Scientist

$95K-$154K (Glassdoor est.)

Req Id: 2475 Job location: Charlotte, NC, US, 28277 Brighthouse Financial is on a mission to help people achieve financial security. As one of the largest providers of annuities and life insurance in the U.S., we specialize in products designed to help people protect what they've earned and ensure it lasts. We are built on a foundation of experience and knowledge, which allows us to keep our promises and provide the value they deserve. At Brighthouse Financial, we're fostering a culture where diverse backgrounds and experiences are celebrated, and different ideas are heard and respected. We believe that by creating an inclusive workplace, we're better able to attract and retain our talent, provide valuable solutions that meet the needs of our advisors and their clients, and deliver on our mission of helping more people achieve financial security. We're se eking passionate, high-performing team member to join us. Sound like you? Read on. How This Role Contributes to Brighthouse Financial: Data Scientists in Brighthouse Financial's Data Science organization work closely with cross-functional teams in marketing, distribution, actuarial, product and other functions, leveraging Brighthouse Financial's rich datasets to develop and deliver propensity models and data-driven insights, and ultimately drive Brighthouse Financial's top line growth. A successful candidate will be passionate about finding insights in data and using quantitative analysis to answer complex questions, with a collaborative and resourceful style. Key Responsibilities: Conduct data analytics with the relevant programming / statistical package (such as R or Python) for large-scale problem solving Work independently and possesses exceptional technical ability. Understand complex business challenges, develop hypotheses, convert into the right analytical hypothesis, and communicate the results back to the partner teams with limited or no analytical background to drive the business strategy Analyze internal / external, online / offline, and structured / unstructured data such as speech analytics, digital footprints, financial information, proprietary market research and secondary sources to identify insights Create innovative solutions to business problems. Partner with other operational areas to identify opportunities for new projects. Build strong working relationships and improve workflow and organizational issues. Build complex advanced-level machine learning and advanced analytics models. Handle and resolve questions and issues referred by junior staff members. May propose, evaluate and implement process improvements to increase efficiency and effectiveness. Perform other duties as required or assigned. Essential Business Experience and Technical Skills: Doctoral degree in a technical field and two plus years of related work experience, or a Master's degree in a technical field and at least 3-4 years of related work experience, or a Bachelor's degree in a technical field and at least 6-8 years of related work experience. Significant professional experience required applying quantitative analysis and modeling to solving real-world business problems including experience in model validation, testing and deployment Demonstrated proficiency in Python/PySpark required Demonstrated ability to perform high quality work independently Excellent oral and written communication skills, including the ability to explain complicated quantitative concepts to non-technical stakeholders using effective story telling techniques and visualization Ability to translate business requirements into detailed analysis plans. Ability to prioritize requests to meet the most important and urgent business needs Working knowledge of insurance industry is a plus Prior exposure to financial services or insurance industry preferred Travel: Less than 5% PI118871321

Brighthouse Financial 3.5

Charlotte, NC

Charlotte, NC

1001 to 5000 employees

Company - Public

Insurance Carriers

Insurance

Unknown / Non-Applicable

-1

Brighthouse Financial

NC

Data Scientist

$111K-$176K (Glassdoor est.)

Headquartered in Brisbane, Calif., CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development and commercialization of clinically differentiated, high-value healthcare solutions for transplant patients and caregivers. CareDx offers products, testing services and digital healthcare solutions along the pre- and post-transplant patient journey, and is the leading provider of genomics-based information for transplant patients. Data Scientist We are seeking a self-motivated data scientist to work in a Data Sciences & Bioinformatics group for development of new algorithms and data analysis pipelines for clinical tests relating to human organ transplantation. These tests include but are not limited to next generation sequencing, digital PCR, expression analysis of targeted regions of interest. The richness of the data-lake provides the opportunity for machine learning based approaches. Individual should have excellent working skills in multiple programming languages (R, Perl, bash shell, Java, Python), be familiar with manipulating large databases, especially SQL in Oracle databases and be comfortable with Docker, Linux environments. Responsibilities: Help design and produce analytical data pipelines Implement statistical procedures necessary for data processing and algorithm development Help develop new next generation sequencing tests for transplantation which include but not limited to data-mining and bioinformatic evaluation of markers, new marker signatures. Prototype, develop, improve, maintain, and apply tools construct pipelines for the management and analysis for large amounts of complex data • Design, build, maintain and monitor current test and data flows Produce well-written, well-documented, and well-behaved software components Evaluates new technologies while keeping up to date with current literature Work as part of the cross-functional team Qualifications: Ph.D in Physics, Computational Biology or Computer Science or equivalent experience Proficiency in programming in R, Python and Unix / Linux Shell scripting Experience using Linux command-line tools and writing shell scripts Experience handling large complex datasets: sequencing (NGS) data Ability to program against REST APIs is preferred Experience with version control tools (preferably git) Able to work well both independently and cross-functionally Excellent communication skills, both verbal and written Familiarity with cloud services and cloud management systems would be a plus Experience with regulated environments, i.e. SOX, HIPAA, CLIA, FDA, a plus Approximately 7 plus years data analysis/algorithm, development experience Work experience with a large and complex data sets Expertise and experience with data manipulation and analysis (ETL) Professional level code documentation and version control Familiarity with HL7 and EMRs (Epic preferred) is preferred Additional Details: Every individual at CareDx has a direct impact on our collective mission to improve the lives of organ transplant patients worldwide. We believe in taking great care of our people, so they take even greater care of our patients. Our competitive Total Rewards package includes: Competitive base salary and incentive compensation Health and welfare benefits including a gym reimbursement program 401(k) savings plan match Employee Stock Purchase Plan Pre-tax commuter benefits And more! In addition, we have a Living Donor Employee Recovery Policy that allows up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow. With products that are making a difference in the lives of transplant patients today and a promising pipeline for the future, its an exciting time to be part of the CareDx team. Join us in partnering with transplant patients to transform our future together.

CareDx 2.5

Brisbane, CA

Brisbane, CA

1 to 50 employees

Company - Private

Biotech & Pharmaceuticals

Biotech & Pharmaceuticals

Unknown / Non-Applicable

Sequenom

CareDx

CA

Data Scientist

$87K-$140K (Glassdoor est.)

PDI provides services across all verticals and continues to grow as a leader across every sector of data management, from Big Data to Data Science. Our teams talent is what sets us apart from our competitors and we continuously seek out the foremost talent of the technology community to give you the best result possible. Position Summary We are looking for a Data Scientist to join our growing team. In this role you will have a unique opportunity to be at the forefront of utility industry analytics. Working as part of cross functional team, including other data scientists, technology experts, and subject matter experts this individual will help develop data driven solutions for decision making and operations. It is the perfect role for someone who would like to continue to build upon their professional experience and gain a comprehensive view of the nations most advance smart grid. Job Responsibilities Analytics and Modeling Gather, prepare, and analyze data from disparate sources to produce user-friendly models and actionable insights Understand and appropriately apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, neural networks, etc. to identify opportunities for operational improvements and develop strategic insights Work collaboratively with other data scientist through an iterative Agile project development lifecycle Communication, Summary Presentation, and User Interfaces Appropriately document data sources, methodology, and model evaluation metrics Develop and present summary presentations to management Create streamlined visuals, and tools for end-users Minimum Qualifications: Degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience Minimum of 8 years of relevant experience in data science or advanced analytics OR Masters Degree and job-related experience, 6 years, OR Doctorate and job-related experience, 3 years Desired Qualifications: Strong oral and written communication skills Demonstrated collaboration or paired development work history Demonstrated proficiency with relational databases, preferably in SQL Demonstrated proficiency with data science best practices, such as version control via Git or similar Demonstrated proficiency with model development for decision analysis, forecasting, or other complex quantitative modeling Demonstrated experience writing clear and well documented code, preferably in Python Demonstrated experience working with large datasets and knowledgeable about parallelization Strong understanding of statistics and experience developing supervised & unsupervised learning models Powered by JazzHR

Serigor Inc. 3.9

San Francisco, CA

Baltimore, MD

1 to 50 employees

Company - Private

IT Services

Information Technology

Less than $1 million (USD)

-1

Serigor Inc.

CA

Data Scientist

$76K-$127K (Glassdoor est.)

Description Job Description: The Defense group at Leidos currently has an opening in Springfield, VA on the RECON project, in support of the NGA's Research Directorate. This is an exciting opportunity to work with cutting edge technology in an R&D environment and support critical warfighter missions. . Primary Responsibilities: Research and develop algorithms for text analytics (word and document embedding, topic modeling, text classification) in high performance computing environment. Requirements: Bachelor's and 6+ years of relevant experience or Master's and 4+ years. Additional experience may be considered in lieu of degree. Active TS/SCI with Poly Experience in NLP, Python, tensorflow, pytorch Experience with statistical analysis and network inference is a plus. External Referral Bonus: Eligible Potential for Telework: No Clearance Level Required: Top Secret/SCI with Polygraph Travel: Yes, 10% of the time Scheduled Weekly Hours: 40 Shift: Day Requisition Category: Professional Job Family: Data Scientist Leidos Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $10.19 billion for the fiscal year ended December 28, 2018. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com. Commitment to Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Leidos 3.4

Springfield, VA

Reston, VA

10000+ employees

Company - Public

Aerospace & Defense

Aerospace & Defense

$10+ billion (USD)

-1

Leidos

VA

Data Analyst, Performance Partnership

$54K-$92K (Glassdoor est.)

Beckman Coulter Diagnostics, an operating company of Danaher Corporation, is recruiting a Data Analyst, Performance Partnership. This position can be located anywhere in the U.S. or Europe. As a Data Analyst, you will have a firm grasp on business level data analytics and informatics used in a healthcare setting. As a critical team member, you will perform research and investigation of business systems and problems using qualitative and quantitative skills and methods. You will interpret and analyze clinical data from various sources and assist team members in identifying potential areas of opportunity regarding continuous improvement; largely focused on the laboratory environment and improving the value that the laboratory brings to a health system enterprise. As a subject matter expert, you will provide management with analytics, statistical findings and conclusions that will guide improvement strategies internally and externally regarding identified key performance indicators. Candidate will work with appropriate leadership and associate level teams to obtain buy-in from internal project sponsor(s) and technical lead(s) regarding next steps suggestions for customers based on data analytics. Own end-to-end reporting and analytics processes and ensures accurate and timely completion of identified deliverables. Primary Responsibilities: Utilize and maintain a detailed understanding of Health Care business processes and informatics systems to facilitate company and customer needs as identified and required. Build and maintain relationships with key business partners, stakeholders and team members involved in the selected projects. Identify and implement appropriate analytic approaches and methodologies to perform the appropriate research and investigate key business problems through quantitative and qualitative analysis of healthcare data. Identify industry trends and incorporate trend analysis data and results into forecasting process and reporting. Translate collected data into detailed reports that identify internal and external improvement opportunities. Provide recommendations for maximizing BCI customer impact on concerns such as reducing the total cost of care, value creation, value-based reimbursement and population health. Support business enterprise level projects as defined by strategic plans. Participates in the planning, development, and deployment of business strategy. Assist with the design of internal processes and standard work that will facilitate utilizing analytics to identify and gain consensus with appropriate leadership on baseline opportunities. Communicate improvement needs internally and externally to C-Suite customers in both technical and non-technical manner. Develop collaborative relationships with internal and external partners. Promote a constructive, positive team environment. Maintain a spirit of openness, information sharing, inquisitiveness and desire for problem-solving which support both the organization and customers common goals and objectives. Develop full understanding of clinical programs being measured. Performs statistical analyses to determine effectiveness of clinical programs and clinical trial results. Work with clinical teams to identify areas of opportunity to drive performance of programs; develop conclusions and recommendations. Design, produce, and support development of clinical dashboards and key performance indicator informatics and reports to meet customer requirements. Work with external teams as identified by leadership to build ongoing reporting needs into the laboratory system production environment. Required Qualifications: Bachelors degree in one or more STEM disciplines Two (2) or more years of prior experience as a data analyst, ETL developer, data scientist, healthcare analyst or similar Required Two (2) or more years of prior experience working with large data sets (100,000 records +), performing data quality, data profiling and ETL tasks Preferred Two (2) or more years working with major DBMSs (Microsoft SQL Server, MySQL or similar): both DDL and DML Preferred Prior experience building scalable Business Intelligence dashboards using QlikView, Qlik Sense, Tableau, Power BI or similar Required Strong Excel skills, with previous experience developing macros and automation (VBA) - Required Microsoft Azure, AWS, Google Cloud Platform experience a plus Experience in the primary and secondary hospital information systems (ex: EMR, LIS, RIS) - Preferred Firm grasp on using data and analytics to facilitate discovery, enlightenment and improvement - Required Excellent verbal and written communication skills Travel: Up to 25% Desirable Skills, Attributes and Qualifications: Naturally curious spirit, and insatiable appetite for learning Experience in the consulting industry Experience in the diagnostics industry Background in process improvement Lean Six Sigma Black Belt Fluency in English and at least one other language is a plus. At Beckman Coulter, we are committed to advancing health care for every person by applying the power of science, technology and the passion and creativity of our teams to enhance the diagnostic laboratorys role in improving healthcare outcomes. Our diagnostic systems are used in complex biomedical testing, and are found in hospitals and other critical-care settings, reference laboratories and physician offices worldwide. We do important work on a global scale, and are invested in growing our associates careers. Beckman Coulter is a Danaher Operating Company. As a $20B company with 60,000 associates, ranked #162 on the Fortune 500 and, during the past 25 years, DHR stock has outperformed the S&P 500 Index by more than 2,000 percent. The strength of our results is a testament to our teams and the power of the Danaher Business System. Our Purpose: Helping Realize Lifes Potential is what makes us excited to come to work each day. At Danaher, we are dedicated to building and sustaining a truly diverse and inclusive culture. These are not just words on a pageDiversity and Inclusion is a top priority for the company, and it ties deeply to each of our core values. Danaher Corporation and all Danaher Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The EEO is the Law poster is available here.

Beckman Coulter Diagnostics 3.6

New York, NY

Brea, CA

10000+ employees

Subsidiary or Business Segment

Health Care Products Manufacturing

Manufacturing

$2 to $5 billion (USD)

Abbott Laboratories, Roche, Thermo Fisher Scientific

Beckman Coulter Diagnostics

NY

Data Scientist

$61K-$100K (Glassdoor est.)

Who we are: automotiveMastermind currently provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The company’s cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. In 2017 we were acquired by IHS Markit. IHS Markit serves more than 50,000 key customers in more than 140 countries, including 80 percent of the Fortune Global 500. They help decision makers apply higher-level thinking to daily tasks and strategic issues across a host of industries and disciplines including energy, finance, automotive, engineering, technology, maritime and trade, aerospace and defense, chemical, and economics and country risk. What we do: Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI. What you will do: Design, execute, and evaluate experiments Automate workflows and apply scientific methods to solve business and engineering problems Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business Communicate data-driven insights and recommendations to non-technical stakeholders Work closely with product owners, designers, data engineers, marketing teams and others across the company Work on challenging projects using cutting-edge technologies Bring analytical rigor and statistical methods to the challenges of measuring quality, improving products, and understanding the behavior of end-users Be the subject matter expert and propose new ideas Who you are: We are looking for talented individuals to join our team in building the analytical components of our software that at heart of it uses data analytics and machine learning MS or PhD in a quantitative discipline (e.g., statistics, operations research, computer science, mathematics, physics, electrical engineering, industrial engineering) Minimum 1 year of work experience 2+ years of industry experience Experience presenting insights to executives and non-technical audiences around product analytics results into business recommendations Applied experience with data analysis and machine learning (such as logistic regression, random forest, gradient boosting, clustering) on large datasets You have the technical competence to perform advanced analytics: Python/R SQL Apache Airflow Experience designing and implementing machine learning pipelines in production environments Demonstrated willingness to both teach others and learn new techniques You are able to work independently but have great collaboration skills You believe in what you do and feel a vested interest in company’s success Bonus if you have the following experience: Developed and implemented experimentation pipeline Developed and implemented recommender engine in production Delivered and implemented production quality code Understanding of microservice design Expected Hours of Work: This is a full-time position. Generally, work is performed Monday through Friday, though holidays and weekends may be required. We believe in equal employment opportunities: The company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, the company complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The company expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of the company’s employees to perform their job duties may result in disciplinary actions up to and including discharge. ----------------------------------------------- IHS Markit is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by the laws and regulations in any of our locations. We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up. IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, as a federal contractor in the United States, the company participates in the E-Verify Program to confirm eligibility to work. For information please click on the following links: IHS Markit Business Code of Conduct Right to Work EEO is the Law EEO is the Law Supplement Pay Transparency Statement ----------------------------------------------- Current Colleagues If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.

IHS Markit 3.5

New York, NY

London, United Kingdom

10000+ employees

Company - Public

Consulting

Business Services

$2 to $5 billion (USD)

Thomson Reuters, International Data Group

IHS Markit

NY

Data Scientist

$81K-$140K (Glassdoor est.)

As a Data Scientist, you will play a critical role in executing the global eCommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the larger data science and analytics teams to create a robust, shared code base; on which we will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams. Responsibilities Work with the larger data science team to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights Write clean, organized machine learning code using standard software engineering methodologies Provide critical thought leadership to enhance organizational capabilities by utilizing big and small data; work with DSA team members to identify and execute on opportunities for enhancement Qualifications/Requirements Education in a computer science/math related technical field (Masters preferred, bachelors minimum) Development experience in Python Experience and or familiarity NumPy, Pandas, Sklearn, SQL/NoSQL databases Experience using Tensorflow or similar framework to design custom deep learning systems Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Candidate should be a competent software engineer capable of contributing to our software repository and owning/leading complex ML software projects Experience in designing systems to solve business problems Demonstrated ability to effectively and concisely communicate with both business and technical audiences Bonus points for deep RL or NLP experience Powered by JazzHR

ALIN

New York, NY

Noida, India

Unknown

Company - Private

-1

-1

Unknown / Non-Applicable

-1

ALIN

NY

Staff BI and Data Engineer

$80K-$148K (Glassdoor est.)

Job Description: Staff BI and Data Engineer Location: San Jose, CA (or) New York, NY Department: Data Engineering Hours/Shift: Full Time Reports To: VP, Data Engineering Job Description: Affinity Solutions is looking for a hands-on and self-driven Staff BI and Data Engineer, preferably with experience in the bank card loyalty/fin-tech/advertising/marketing space, to enhance and automate its data and analytics infrastructure to support its growing customer base and expanding partner ecosystem. The position is based in San Jose, CA., and reports into the Data Engineering division. The demand for advanced analytical solutions continues to grow exponentially, and this is your opportunity to grow with us in a fast-paced, collaborative environment. The ideal candidate is a passionate and highly skilled individual, who can utilize programming and analytics tools such as SQL, Python, and Tableau to query and process large data sets to produce high quality customer facing data deliverables and insights. If you have experience designing and building business intelligence/analytics applications, especially around credit/debit card transactions, unified consumer behavioral and profile data, and excited about leveraging your experience to catapult a venture-backed company into hyper-growth, this job is for you. Responsibilities: Develop high quality analytical data assets with an eye towards process efficiency and automation through scripting. Experience in building data marts is a plus. Build automated QA process to validate the quality of the data and report on data quality Communicate and present data to both internal and external customers by developing reports/dashboards/charts using BI tools such as Tableau Work closely with a dynamic and growing team of account managers, data engineers and data scientists to perform quantitative analysis of customer data, including gathering data requirements and validate data, applying judgement and statistical analysis to assist with planning and decision making. Other responsibilities include but not limited to - data validation, troubleshooting issues, and process documentation. Qualifications: Bachelor’s or Master’s degree in Computer Science or related field such as Mathematics and Statistics, preferably with focus on Data Analytics. At least 3 years of hands-on experience in designing and building data pipelines, analytical data applications and BI Reporting. Proficient in SQL and Tableau, familiar with at least one coding language in Python/Shell scripting. Experience in using Cloud based managed services and Big Data Environments for data warehousing/analytics is a big plus – e.g. Amazon RedShift, Google BigQuery, Spark, MapR etc., Very strong written and verbal communication skills; Ability to tell a story with the data Analytical thinker, with an ability to evaluate multiple products/technologies to address various aspects of a big data platform. Experience working on UNIX / Linux development and production environments Experience working in Agile software development environments Strong organization skills with attention to detail is a must. Ability to manage multiple conflicting priorities, take proactive ownership of problems and outcomes, think outside the box Knowledge of Retail and Financial verticals is useful but not required.

Affinity Solutions 2.9

San Jose, CA

New York, NY

51 to 200 employees

Company - Private

Advertising & Marketing

Business Services

Unknown / Non-Applicable

Commerce Signals, Cardlytics, Yodlee

Affinity Solutions

CA

Data Scientist

$108K-$171K (Glassdoor est.)

Advanced degree in Data Science Statistics Computer Science or similar Extensive experience as a Data Scientist Proficiency in R or Python where the former is preferred Indepth understanding of SQL Competent in machine learning principles and techniques Demonstrable history of devising and overseeing datacentered projects Ability to relay insights in laymans terms such that these can be used to inform business decisions Outstanding supervision and mentorship abilities Capacity to foster a healthy stimulating work environment that frequently harnesses teamwork Advanced degree in Data Science Statistics Computer Science or similar Extensive experience as a Data Scientist Proficiency in R or Python where the former is preferred Indepth understanding of SQL Competent in machine learning principles and techniques Demonstrable history of devising and overseeing datacentered projects Ability to relay insights in laymans terms such that these can be used to inform business decisions Outstanding supervision and mentorship abilities Capacity to foster a healthy stimulating work environment that frequently harnesses teamwork

e-IT Professionals Corp. 3.5

Foster City, CA

Canton, MI

51 to 200 employees

Company - Private

Health, Beauty, & Fitness

Consumer Services

$5 to $10 million (USD)

-1

e-IT Professionals Corp.

CA

Data Scientist

$112K-$179K (Glassdoor est.)

Hi, Greetings of the Day!!! Looking for Data Scientist for below requirement. Job Title: Data Scientist with SQL, Python, R, Tableau. Location: Manhattan, NY Duration: 12 Months Plus Interview Mode: F2F Mandatory. Description: Experience requirements 5+ years as a data scientist leading efforts to identify relevant questions, collect data from a multitude of different data sources, organize the information, translate results into solutions, and communicate findings in a way that positively affects decisions 5+ years working with SQL, Python, R, Tableau and other data science programing languages and tools Strong quantitative and problem-solving skills Experience and passion for data wrangling, data cleaning, and ETL Experience working with administrative data sets Experience with statistical modelling and machine leaning analysis Experience with Bayesian analysis Proficiency in GIS concepts and software (ArcGIS, Google Maps, QGIS, Carto) Attention to detail for documenting work processes and writing clear instructions for technical tasks Ability to distill complex material into actionable recommendations Excellent written and oral communication skills JOB Duties  Develop SQL and Python queries to analyze the completeness and quality of key data elements in StreetSmart, including demographics, caseload history, mental illness diagnoses, and substance abuse details  Develop and monitor a data cleaning prioritization plan, working with a data analyst dedicated to data cleaning  Manipulate and analyze administrative data in order to predict outcomes and make data-driven recommendations  Apply statistical and data mining techniques to conduct performance audits, trend analysis, and predictive analytics using StreetSmart data  Collaborate with team members to develop novel strategies for technical analysis  Evaluate ethical implications of design choices for predictive analytics models and automated decision support systems  Create and present compelling reports to stakeholders based upon project findings and methods  If interested, kindly do share profiles to madhavi(at)impetususa(dot)com

TechProjects 4.8

New York, NY

North Brunswick, NJ

1 to 50 employees

Company - Private

IT Services

Information Technology

Unknown / Non-Applicable

-1

TechProjects

NY

Data Scientist

$63K-$111K (Glassdoor est.)

Job Description About the Role: This is a rare opportunity to join a small but fast-growing team, where you will play a major role in shaping Biz2Credit?s future. We?re looking for an exceptional candidate that is excited about the opportunity to build a next-generation financial services business. We believe that there is a tremendous opportunity to leverage cutting-edge data science to inform smarter, faster decision making. As a Biz2Credit Data Scientist, you will shape the company?s data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Data Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. YOU WILL: Drive the ongoing advancement and refinement of Biz2Credit?s credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. Harness the power of Biz2Credit?s technology to proactively identify emerging risks as well as opportunities with our customers. Play a leadership role in the design and implementation of ongoing operational and risk reporting and analytics. Work on data projects and proposals involving Biz2Credit?s financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data. WE'RE LOOKING FOR SOMEONE WITH: Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred. 2- 4 years experience performing quantitative analysis within self-directed roles. Practical hands-on experience in the development and implementation of new predictive models and comfortable in learning new statistical tools and techniques. Ability to visualize and communicate sophisticated data and models to all audiences. Specific demonstrated experience, knowledge, accuracy and speed of execution in Powerpoint, Excel, Excel VBA and R (knowledge of other programming knowledge and/or Stata is a plus) Highly motivated, versatile, capable of working independently with demonstrated initiative.

Biz2Credit Inc 4.0

New York, NY

New York, NY

201 to 500 employees

Company - Private

Lending

Finance

$100 to $500 million (USD)

Fundera, Bond Street, OnDeck

Biz2Credit Inc

NY

Data Scientist

$75K-$126K (Glassdoor est.)

PeoplesBank is the largest mutually chartered bank in Western Massachusetts and a leader in green values, sustainable energy financing, and charitable giving. Come join our team of dedicated individuals who want to contribute to a dynamic, successful organization. Data Scientist Schedule:Monday through Wednesday and Friday8:30am-4:30pm, Thursday 8:30am-5:00pm Responsibilities: ·Analyze, interpret and visualize complex datacreating conceptual, logical and physical data models to determine the most appropriate method to represent data for business consumption ·Lead analytic projects and track overall performance of assigned projects including conversion rates and retargeting; recommend process and procedure improvements as a result of analytics. ·Manage the Marketing platform by working closely with the marketing team to identify opportunities and implement campaigns for the Marketing team. ·Manage ad hoc analyses to supportbank wide initiatives ·Direct and perform a variety of advanced analyses including data mining and research; provide recommendations based on key findings. ·Work with Data Liaisons to manage and improveexisting customer data points to identify customer demand and trends to drive strategy. Create dashboards to provide on demand tracking of bank wide KPI’s and metrics. Evaluate the data and determine and recommend next steps based off this information. ·Manage large& complex analytical projects, data exploration, model building& testing. ·Work cross-functionally with multiple internal teams developing strong working relationships and have a hands-on mentality. ·Explore new data sources, analytical techniques and industry trends to ensure ongoing competitive advantage. ·Measure and report performance of bank promotions and assess against goals; Identify trends and insights and make recommendations to optimize performance based on insights. ·Manage, develop and build models that lead to better business insights and recommendations. Understand customer patterns and behavior and provide insight on customer experience, customer retention, customer acquisition and utilization strategies. Provide recommendations based on the analysis. ·Create new and manage existing folders, reports, dashboards, and agents in the data management system to ensure timely and accurate data reporting for use by bank managers for decision purposes. ·Completes all yearly compliance training and testing and complies with bank, federal, and state regulations.Adheres to departmental and bank-wide service standards. ·Adheres to departmental and bank-wide service standards. Complies with Bank Policies and Procedures The Data Scientist will be involved in articulating data-driven solutions that inform decision making, and in developing methods or processes for implementation and targeting. The Data Scientist will be expected to have a deep understanding of analytical methodologies in order to complete unstructured assignments with little supervision. The Data Scientist has impact on identifying customer behavior and targeting analysis. The Data Scientist provides insight for a variety of bank wide initiatives based on data analysis on both the front end and back end. The position will also be expected to take that data and proactively provide recommendations for next steps utilizing the data. Inaccurate reporting of data provided to Senior Management could result in misinformed decision making significantly impacting the financial or operational performance of the bank. Failure to adequately safeguard customer information could result in negative regulatory sanctions. Education and/or Experience: Generally requires a Master’s degree, preferably, in business administration, finance, or data/information sciences plus five to ten years of relevant experience or an equivalent combination of education and experience. Computer Skills: Proficient in Microsoft Office Suite. Proficient in database management, report writing software (such as Oracle Business Intelligence) and SQL. General knowledge of other computer applications and banking core processing systems. Possesses understanding in the areas of application programming, database and system design. Understands how legacy and web-based systems interface with each other. Other skills and knowledge Bring a strong background with proven experience in digital analytics, measurement, modeling, and data quality. Solid Analytical/statistical skills. Ability to think deeply about statistical issues as well as business and marketing implications. Passion to self-educate and keep up-to-date on the latest Analytics trends in marketing, banking and other fields. Excellent attention to detail, data accuracy, and quality of output. Proactively seeks opportunities to serve in leadership roles while serving as a role model. Time Management:Strong time management skills, proficiency in prioritizing, scheduling and managing multiple project schedules and different levels of criticality.

PeoplesBank 4.2

Holyoke, MA

Holyoke, MA

201 to 500 employees

Company - Private

Banks & Credit Unions

Finance

$50 to $100 million (USD)

-1

PeoplesBank

MA

Data Scientist Manager

$110K-$184K (Glassdoor est.)

5-10 years professional work experience as a data scientist or on advanced analytics / statistics projects. Preferred sector focus with 3 years’ experience in one of the following industries: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities. Master’s degree from top tier college/university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field. PhD preferred. Strong understanding and application of statistical methods and skills: distributions, experimental design, variance analysis, A/B testing, and regression. Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and non-linear regression, hierarchical mixed models/multi-level modeling, and ability to answer questions about underlying algorithms and processes. Experience with both Bayesian and frequentist methodologies. Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, ect.).Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.) Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, ect.)Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering, NMF). Preferred experience with NLP, Graph Theory, Neural Networks (RNNs/CNNs), sentiment analysis, and Azure ML.. Experience building scalable data pipelines and with data engineering/ feature engineering. Preferred experience with web-scrapping. Experience building and deploying predictive models. Expertise using PowerPoint and clearly articulating findings/ presenting solutions. Excellent team-oriented interpersonal skills and demonstrated leadership. Proven track record delivering successful data science projects and working with global teams. Demonstrated leadership by building Data Science teams and fostering growth. Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. (Includes Data Modeler, Data Miner.) Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables). Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms. Required Skills and Experience: You Supervise, mentor, guide other data analysts. Represent data analyst team in project team meetings. • Qualifications: 7 – 10 (3 years min relevant experience in the role), Bachelor’s Degree. • Must have experience in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management. • Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50 year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion. Visit us at www.capgemini.com. People matter, results count.

Capgemini 3.8

New York, NY

Paris, France

10000+ employees

Company - Public

Enterprise Software & Network Solutions

Information Technology

$10+ billion (USD)

Accenture, CGI, Sopra Steria

Capgemini

NY

Data Engineer

$76K-$145K (Glassdoor est.)

Data Engineer Job Details Level Experienced Job Location New York (Home Office) - New York, NY Position Type Full Time Education Level 4 Year Degree Salary Range Undisclosed Travel Percentage Undisclosed Job Shift Day Job Category Information Technology Description Greater New York Mutual Insurance Company ("GNY") is an A+ rated, financially stable and growing property casualty insurance company with locations throughout the Northeast. We are currently looking for a dynamic and highly motivated Data Engineer for our New York office. Responsibilities: Develop, construct, test, and maintain architectures, such as databases and analytic environments and platform required for structured, semi-structured and unstructured data Design and develop data pipelines that deliver accurate, consistent, and traceable datasets for data science projects Support regular and ad-hoc data needs for data scientists Provide recommendations and implement ways to improve data reliability, efficiency, and quality Qualifications Bachelor’s or Master’s degree obtained from an accredited institution preferably in Computer Science, Computer Engineering, and Software Engineering, Data Science, or a related field 3-5 years of professional experience in data science or related field Experience in database deployment and management and proficient in SQL Experience in data warehousing and ETL (Extract, Transform, and Load) Proficient in R, Python, VBA, Excel and Word Excellent oral and written communication skills

GNY Insurance Companies 3.7

New York, NY

New York, NY

201 to 500 employees

Company - Private

Insurance Carriers

Insurance

$100 to $500 million (USD)

Travelers, Chubb, Crum & Forster

GNY Insurance Companies

NY

Marketing Data Analyst

$36K-$62K (Glassdoor est.)

For more than 80 years, Citadel has steadily grown and offered stability to our customers, community, and employees. Today, Citadel provides banking, investments, and insurance services to more than 200,000 customers. As we continue to expand, we remain committed to providing the very best value to our customers. At over $3 billion in assets, we are one of the Greater Philadelphia area’s largest locally owned financial institutions, proudly serving residents of Bucks, Chester, Delaware, Lancaster, Montgomery, and Philadelphia counties. In 2018, Citadel was ranked number one among all credit unions in Pennsylvania for providing value to our customers by Callahan& Associates, and was named one of the best performing credit unions in the nation by SNL Financial. To learn more, visitCitadelBanking.com. We are building out Citadel's Data& Analytics capabilities and we are seeking three Marketing Data Analysts. These individuals will report to the Sr. Research& Data Analyst. The roles will be based in the Marketing department located at our corporate headquarters in Exton, PA. The Marketing Analyst is responsible for identifying and analyzing data regarding our customers and prospective customers, making recommendations and providing insight to Citadel leadership in critical decision-making that drives Citadel Class Service and our business objectives including growth and sales. The Analyst will be responsible for designing and delivering the Use Cases to support the development of Citadel’s next generation Data& Analytics platform. Each Use Case is designed to support the business and deliver an improved customer and/or employee experience and will include the requirements, data definition, report and dashboard design, and end user rollout. Duties and Responsibilities Collaborate with Marketing, Sales, Product teams and other Citadel business leaders to determine and prioritize needs for customer data. Develop Use Cases– partner with the business to capture and document Business Requirements, Business Definitions, Data Definitions, Visual Requirements, and Test Scripts. Apply various analytic methods to discover and interpret information about customer and prospective customer behavior from multiple data sources, including Citadel’s website, social media, customer account data, data from external partners, and other sources Integrate data across sources Collaborate with IT to develop or adopt relational databases Create actionable insights based on customer data, both proactively and in response to requests Recommend target segments and campaigns/offers Maintain necessary processes, controls and procedures to ensure data accuracy and business functionality and comply with privacy and security policies and regulations. Lead and participate in cross-functional teams for corporate sales, marketing, customer service, and product development Perform regular analysis and reports for distribution to senior management on customer/prospective customer data and trends. Develop analytical reports to various departments requesting insight, supportive data or status reports to support corporate initiatives Qualifications and Education Requirements Required Work Experience -3+ years related data management and analysis experience, including experience in consumer behavior data mining and analysis Preferred Work Experience -Retail banking or other financial services experience. Experience with marketing, sales, or customer service, including digital and traditional Education - Bachelors degree required Technical Knowledge Required -Proficiency in specialized database software.Writing SQL queries to solve business problems.Proficiency creating reports and dashboards in a modern data visualization tool (Tableau, PowerBI, Qlik).Proficiency in Microsoft Office suite. PreferredTechnical Knowledge -CRM experience,Python or R, experience with database documentation (Data Dictionaries and Entity Relationship Diagrams)

Citadel Federal Credit Union 3.9

Exton, PA

Exton, PA

501 to 1000 employees

Nonprofit Organization

Banks & Credit Unions

Finance

Unknown / Non-Applicable

TruMark Financial, North Island Credit Union, CommunityAmerica Credit Union

Citadel Federal Credit Union

PA

Data Scientist

$70K-$118K (Glassdoor est.)

Hello Associates, *****Greetings from Conch Technologies***** Â Title: Data Scientist Length: 12+ month's contract Location:ÂWaltham, MA Inperson Must Responsibilities: Lead major projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs. Identify, extract, and integrate data sets ranging in size from spreadsheets to big data; prepare and clean data for use in advanced analysis. Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations. Develop structured, documented, version-controlled code that enables automation and post-roll out customer self-service reports. Contribute toward the strategic vision for shaping the Data Science Team of tomorrow. Be intellectually curious and enjoy learning. Works well in a team. Qualifications: 5+ years of experience in business environment as a data scientist/business analyst/quantitative analyst and a Bachelors degree; or 5+ years of similar experience and a Masters degree; or 3+ years of similar experience and a PhD. Experience leading projects and/or teams. Demonstrated ability to communicate and interact with business stakeholders Demonstrated ability to translate technical knowledge into business terms Fluency in: Machine learning tools, techniques, visual basics, and writing macros. Python object-oriented programming/development, SQL and NoSQL. Demonstrated ability to utilize Data Mining techniques to segment/classify customers, predict likelihood of product adoption, and profile customer base from not only an algorithmic standpoint, but a conclusion and insight drawing perspective, from tools and data that do not lend themselves to algorithmic solutions is required Can query, clean, and merge datasets from various sources Strong Statistical and Mathematical background is required: Math (e.g., linear algebra, calculus, and probability) Statistics (e.g., hypothesis testing, descriptive statistics, etc Preferred Skills and Experience: Familiar with cloud computing in Linux environment (Azure / AWS is a plus) Strong Business Analytics background (NPV, DCF, and Cost Benefit Analysis) Regulated utility experience Big data frameworks (Hadoop, Spark, Hive) NoSQL experience Experimental Design experience GIS knowledge (ArcGIS is a plus) Interactive visualization tools (Tableau / Power BI is a plus) Knowledge of Agile frameworks Ability to learn multiple programming languages/database engines in addition to those required above for the purposes of analyzing and using data; not software development. Can describe machine learning tools and techniques (supervised and unsupervised) to a non-technical audience Additional Requirements: Candidate may be subject to background check and drug test. Â With Regards, Â NageeshÂGÂ Main:Â901-313-3066 Email:Ânagesh@conchtech.com Web:Âwww.conchtech.comÂ

Conch Technologies, Inc 4.6

Waltham, MA

Memphis, TN

51 to 200 employees

Company - Private

Consulting

Business Services

$5 to $10 million (USD)

-1

Conch Technologies, Inc

MA

Senior Data Scientist

$94K-$153K (Glassdoor est.)

Medidata: Conquering Diseases Together Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes. More than one million registered users across 1,400 customers and partners access the world's most-used platform for clinical development, commercial, and real-world data. Medidata, a Dassault Systèmes company, is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at www.medidata.com. Acorn AI is one of the largest AI companies exclusively dedicated to life sciences. It’s built on Medidata’s platform that includes the industry’s largest structured, standardized and growing clinical trial data repository consisting of 17,000+ trials and 4.5M patients. Our team is composed of over 40 PhD/Masters statisticians, data scientists, analytical product leads, former FDA biostatisticians and computational genomicists. Your Mission: AcornAI’s is looking for individuals who will help us tackle some of the most complex questions facing the industry today using our proprietary AcornAI platform and advanced analytics. In this role, you will research and develop statistical models. At AcornAI, we never work alone. This role will partner heavily with all of the key stakeholder functions including Product, Delivery, Engineering, partnerships and Biostatistics. Successful candidates will be skilled in analytical/quantitative thinking, structured communication and excited about building the next horizon of Medidata’s journey of powering smarter treatments and healthier people. Solve some of the most complex problems in healthcare, translating complex data into meaningful insights Design, develop and validate statistical models for novel medical applications. Areas of team focus include Clinical Trial analytics Provide support functions around model-building, including data cleaning and code review Ability to understand and peer review complex, multivariable statistical models and data analytics solutions using machine learning algorithms Ability to work independently on complex and diverse issues and propose solutions Bring to production developed methods and code for integration with existing/new products Work directly with our team comprised of the brightest minds in technology, research and mathematics as well as senior interfaces from leading life sciences companies across the globe Your Competencies: Ability to translate business challenges into data pipelines & model framework, owning and driving successful projects Strong verbal and written communication; collaborative focus Fluency in statistical tools and programming languages that allow you to be self-sufficient in handling data (R, Python, SQL) Ability to apply Machine Learning techniques (classification, regressions, feature selection etc.) Your Education & Experience: Masters or Ph.D. in Math, Statistics, Computer Science, Physics, Engineering, Bioinformatics or another quantitative field with a strong foundation in statistical methodology 2-3+ years of experience with statistical analysis in a healthcare related field Experience with large healthcare datasets, Machine Learning techniques (classification, regressions, feature selection etc.) Experience using Git version control Medidata is making a real difference in the lives of patients everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform. Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. With this asset, we pioneer innovative, advanced applications and intelligent data analytics, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach waiting patients sooner. Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. #LI-AS1

Medidata Solutions 4.3

New York, NY

New York, NY

1001 to 5000 employees

Company - Public

Enterprise Software & Network Solutions

Information Technology

$500 million to $1 billion (USD)

Oracle

Medidata Solutions

NY

Principal Scientist, Hematology

$54K-$115K (Glassdoor est.)

SUMMARY The Principal Scientist will report to the Director of Scientific Affairs, and will be responsible for management and execution of analytical technical activities and ensure their quality for ACM Clinical Laboratory, Inc. Responsibilities will include development of comprehensive policies and procedures for test and analyzer evaluation, development, validation and implementation. This position will work closely with the Scientific Affairs, Proposals and Business Development to ensure ACM Global Laboratories can provide high quality clinical insights to our clients, impacting patients around the world. STATUS: Full time LOCATION: ACM Global Laboratories - Headquarters (160 Elmgrove Park, Rochester, NY) DEPARTMENT: Clinical Trials SCHEDULE: Days ATTRIBUTES PhD in related chemical, physical, or biological science field required. 2-5 years laboratory experience and prior management or supervisory experience required. 2-5 experience in Hematology required. 2 years of laboratory management experience required. Certificate of Qualification in Hematology preferred. Board Certification (ABB, ABCC, ABFT, ABHI, ABMGG, ABMLI, ABMM, NRCC) preferred. RESPONSIBILITIES Method & Test Development. Oversee the development, validation, and implementation of new tests and procedures to ensure the clinical laboratory meets the needs of all clients, especially non-FDA approved assays to support Clinical Trial clients. Ensure appropriate technical methods are utilized. Develop protocols and oversee laboratory instrument selection, evaluation, validation and implementation. Advise on selection of new instrumentation globally. Prepare scientific data, including sample stability, method information, reference ranges, etc. to support test menu development. Participate in Continuous Professional Development and any other activity needed to ensure continuing registration as a Clinical Scientist or Laboratory Director, and keep abreast of new developments in the Biomedical Sciences and Clinical specialty and advise on new initiatives as appropriate. Quality. Provide scientific and technical support on interpretation of laboratory data as required. Establishing and signing off acceptance of reference ranges. Review and approve validation studies of each test for clinical use. In conjunction with the laboratory manager, periodically review laboratory and quality control/assessment data to ensure accurate and precise results are continually produced, and participate in the ACM Global inter-laboratory correlation and standardization process. Supervise the training of staff in new techniques as necessary. Work with the QA department in writing and reviewing Standard Operating Procedures and relevant documentation as necessary. Participation in all activities that seek to ensure compliance with GCP guidelines and CAP accreditation. Comply with policies for the safe, secure and confidential processing and storage of patient and other laboratory information. Client Relations. Review client protocols and prepare proposals and quotations to assist the business development team. Advise as necessary. Liaise with Proposals and Business Development and the VP of clinical operations to advice on methodology, instrumentation and costs for new assays to be introduced into the laboratory to assist in the development of quotations. Provide test analytical information and participate in conference calls and meetings with clinical trials analysts, business development and ACM clients. Rochester Regional Health is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran

Rochester Regional Health 3.3

Rochester, NY

Rochester, NY

10000+ employees

Hospital

Health Care Services & Hospitals

Health Care

$500 million to $1 billion (USD)

-1

Rochester Regional Health

NY

Data Analyst

$50K-$92K (Glassdoor est.)

Data Analyst Category Finance and Accounting Job Location Alexandria, VA Tracking Code FPI 3179-585 Position Type Full-Time/Regular CALIBRE is currently seeking an individual to provide data analysis support for a Department of Defense (DoD) client in Alexandria, VA. The position is available for immediate hire. Responsibilities: Support all analytical and statistical reporting requirements for program activities. Integrate data from multiple data sets, analyze and interpret data sets and make findings relevant and actionable for the client. Provide timely, accurate and reliable management reporting and analysis of data. Work with the client to identify and prioritize data and statistical requirements, including specific data elements to be collected. Identify, analyze, interpret, and model trends or patterns in data Ensure the accuracy and completeness of data. Assist in the development and implementation of data collection systems/tools, data analytics, and other strategies that optimize statistical efficiency and quality (including identifying process improvements to better satisfy business needs) Deliver quality, easily understood products on a timely basis Obtain, manipulate, clean, and normalize data obtained from various sources. Propose and define pertinent measures and metrics. Develop, analyze and produce standardized statistical reports and ad hoc reports Generate graphical management reports and support management dashboards. Required Skills Possess an active SECRET clearance. US Citizen. Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Business, or other relevant discipline; or equivalent work experience. Strong verbal and written communication skills. Critical thinking abilities, willingness to learn, and eagerness to do research. Minimum 5 years’ professional experience. Specialized experience may substitute for years of experience. Additional Requirements: Ability to perform statistical analyses, e.g., calculating mean, standard deviation, correlation, regression analysis. Proficiency with Microsoft Office products, particularly Excel and Access. Required Experience Desired Experience: Experience with data analytic tools such as Tableau, Qlik, or PowerBI. Ability to develop basic SQL queries #LI-TO1 CALIBRE and it's subsidiaries are an Equal Opportunity Employer and supports transitioning service members, veterans and individuals with disabilities. We offer a competitive salary and full benefits package. To be considered, please apply via our website at www.calibresys.com. Come join our dynamic team. #CALIBRECareers #SPEARCareers

CALIBRE Systems 3.7

Alexandria, VA

Alexandria, VA

501 to 1000 employees

Company - Private

IT Services

Information Technology

$100 to $500 million (USD)

CSC, Booz Allen Hamilton, ManTech

CALIBRE Systems

VA

Software Data Engineer - College

$49K-$97K (Glassdoor est.)

Applies basic foundation of a function's principles, theories and concepts to assignments of limited scope. Uses professional concepts and theoretical knowledge acquired through specialized training, education or previous experience. Develops expertise and practical knowledge of applications within business environment. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities Codes limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on objectives and guidance from more senior project team members. Executes established portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements. Participates as a member of a project team of other data science professionals to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Knowledge & Skills Using data engineering tools, languages, frameworks to cleanse, mine and explore data. Basic understanding of NoSQL & relational based systems along with complex, distributed and massively parallel systems. Ability to apply analytical and problem-solving skills. Ability to understand complex data structures. Understanding of database technologies and management systems. Understanding of database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools. Strong written and verbal communication skills; mastery in English and local language. Scope & Impact Collaborates with peers, senior engineers, data scientists and project team. Typically partners with more senior Individual Contributors. Supports projects requiring data engineering solutions expertise. Education & Experience Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent. Typically 0-2 years experience.

HP Inc. 4.0

Corvallis, OR

Palo Alto, CA

10000+ employees

Company - Public

Computer Hardware & Software

Information Technology

Unknown / Non-Applicable

-1

HP Inc.

OR

Director - Data, Privacy and AI Governance

$67K-$135K (Glassdoor est.)

What great looks like in this role Data, analytics, and artificial intelligence models are at the core of MassMutuals digital transformation. The enterprise Data, Privacy and AI governance program is responsible for implementing a principles-driven, enterprise program that holistically addresses governance at scale and enables the delivery of superior customer value, experiences, trust and loyalty. As a member of the new Data, Privacy and AI governance team you will work with data scientists and other leaders across the organization on principles, policies, and controls that inventory, measure, assess, and organize the firms data assets and algorithmic models. You will focus on driving change by democratizing data, analytics and AI/ML across the enterprise consistent with our corporate values, customer expectations, and regulations. Our tactics include an initiative to develop a proprietary, self-service platform for unified expression of these governance policies, streaming governance evidence, and a single-pane-of-glass to observe adherence. On our flat, agile team your focus may shift between data governance, privacy governance, and AI governance outcomes over time. Objectives of the role Partner with data scientists and business leaders and lead the execution of governance engagements from start to finish. This includes the engagement planning, directing, and completing data and model inventories, compliance and privacy assessments, adoption of our principles-driven, adaptive policy framework, and overall data, privacy and AI/ML governance program objectives. Contribute to the development of our principles-driven, adaptive policy framework to inventory, assess, organize, measure, and track MassMutuals data and AI/ML assets across the enterprise. Ensure successful adoption and continuous improvement of the framework to drive effective governance at scale across our data, analytics, privacy and AI/ML capabilities. Stay up-to-date on emerging trends in consumer expectations, our competitive landscape, and the regulatory environment. Daily and Monthly Responsibilities Collaborate and partner with leaders across our data science team, business channels, law, compliance, enterprise risk, and information security for policy making and best practices. Develop and implement data and AI/ML principles, standards and standards of use. Establish and track quantitative measures of policy compliance including veracity, lineage, ethics, security, fairness, accountability, transparency, and auditability. Establish and continuously improve processes that collect governance evidence and compute these measures. Partner with Enterprise Architecture and Data Management counterparts to drive a cohesive, consistent stakeholder experience and permissible use of data and AI/ML assets based. Support strategic planning for data, privacy and AI/ML governance and overall data strategy through roadmap development and objective planning Basic Qualifications Bachelors degree in Science, Technology, Engineering or Mathematics (STEM). Experience executing enterprise governance programs in highly regulated industries. Experience conducting privacy or security risk assessments, DSARs, or internal audits. Experience creating KPIs and using them to manage execution and inform strategy. Exceptional communication skills, both written and verbal. Influencing abilities across all levels of the organization. Experience working with global privacy and data protection regulations such as the GDPR, CCPA, HIPAA, GLBA and other relevant privacy regulations. Knowledge of metrics associated with characterizing performance, bias, variance, and error in algorithms and predictive models. Experience establishing and executing complex, strategic, cross-functional enterprise programs. Authorized to work in the USA without sponsorship. Preferred Qualifications Advanced degree preferred (M.S., M.B.A., J.D.). Knowledge of public policy making Experience with technology product management Knowledge of methods for designing, developing, testing, peer-reviewing, and deploying machine learning and artificial intelligence solutions. Expertise with the following are considered a strong plus: software development/DevOps, agile methodologies, financial/insurance industry structure and practices, and financial industry regulations. Work in Boston Office. Some travel to Springfield, Amherst and New York.

MassMutual 3.6

Boston, MA

Springfield, MA

5001 to 10000 employees

Company - Private

Insurance Carriers

Insurance

$10+ billion (USD)

-1

MassMutual

MA

Staff Machine Learning Engineer

$138K-$224K (Glassdoor est.)

Join the Mobile Future with Tapjoy Data Science is pretty much our business - we drive conversions. Given our massive scale, relatively modest improvements can have an outsized impact. If you're looking to be a point of influence on a celebrated team (*not* just another in a giant machine), a thought leader & mentor, and implement cutting edge machine learning tools -- this gig is for you. Responsibilities Experiment and improve machine learning models for the recommendation/ad optimization system. Inform bidding strategy and data engineering architecture. Understand various ad-optimization algorithms (CTR prediction, eCPM optimization, user targeting and segmentation, RTB optimization, Exploration/Exploitation Algos) Competencies Solid coding skills in SQL and in a scripting language like Python. Packages: scikit-learn & TensorFlow. Scaling GPU clusters to train deep neural networks. Experimental Design. Deep expertise in recommendation systems, classification models, class imbalance, model calibration. Experience with BigQuery or PySpark or another modern method to access data Skills > credentials. Bonus: Domain and/or marketplace knowledge Tapjoy is an equal opportunity employer. We believe that diversity and inclusion lead to stronger, more innovative teams and better business results; we want to draw from the broadest talent pool possible and encourage qualified applicants. Tapjoy does not discriminate on the basis of sex, race, ethnicity, color, age, sexual orientation, gender (including identity and expression), disability (mental or physical), religion, national origin, citizenship, marital status, military or veteran status, or any other protected classification protected by applicable law; we will provide reasonable accommodations for qualified individuals with disabilities, and pursuant to applicable fair chance ordinances, we will consider for employment qualified applicants with arrest and conviction records. For more information, please visit www.tapjoy.com. ]]>

Tapjoy 3.9

San Francisco, CA

San Francisco, CA

201 to 500 employees

Company - Private

Internet

Information Technology

$10 to $25 million (USD)

FLURRY, Chartboost

Tapjoy

CA

Data Scientist

$80K-$139K (Glassdoor est.)

At Northrop Grumman we develop cutting-edge technology that preserves freedom and advances human discovery. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We continue to innovate with developments from launching the first commercial flight to space, to discovering the early beginnings of the universe. Our employees are not only part of history, they're making history. The Engineering & Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission! The Data/Systems Engineer plays a dual role of analyzing and modeling data, as well as managing and developing systems. The candidate applying for this position should be able to work across disciplines and organizations; identifying requirements, implementing good data governance principles, and producing logical data models. The qualified applicant will be expected to work directly with internal customers to develop strategies to meet their specific needs, while at the same time developing a common core approach to extend solutions to other disciplines and organizations. Responsibilities: Support the Infrastructure team's mission of continuous improvement through data driven processes and tools. Work with customers to define requirements for systems and metrics Perform Data Analysis of data vaults to find commonality and develop logical models Convert requirements into actions and models Identify critical problems and the steps required to resolve them Provide cost and data analysis and guidance to high level requirements for project teams Qualifications: Basic Qualifications: Bachelor's in Statistics, Engineering or related field and a minimum of 2 years of related experience Experience in Data management, Data Engineering, or Data Science Experience with R or similar statistical languages 1-2 years of experience using SQL to query databases (Oracle, SQL Server) Preferred Qualifications: 1-2 years of experience with web development: HTML, CSS and JavaScript Background in development and production of electronic and RF components, or a degree in a related field Experience with Business Objects, Tableau, or other charting tools Experience with shop floor systems Experience with the Software Development lifecycle, and both Agile and Waterfall projects Experience with electrical and mechanical data management systems Data analytics and visualization, statistics Database query experience Experience with Excel Macros What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements https://benefits.northropgrumman.com/us/en2/BenefitsOverview/Pages/default.aspx Additional Northrop Grumman Information: Northrop Grumman has approximately 85,000 employees in all 50 states and in more than 25 countries, we strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs and services in the world. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO. U.S. Citizenship is required for most positions.

Northrop Grumman 3.7

San Diego, CA

Falls Church, VA

10000+ employees

Company - Public

Aerospace & Defense

Aerospace & Defense

$10+ billion (USD)

-1

Northrop Grumman

CA

Lead Data Scientist

$158K-$211K (Glassdoor est.)

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce. At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers. You're an Individual. We're the team for you. Together, let's transform the way the world pays. You may have noticed that payment has become a very active/hot area in the last several years. Given the strong demands and innovation, this will be a very exciting area in the next 5 to 10 years. VISA is clearly a very strong leader in the payment industry, and is in a fast pace of technology transformation. For a payment system to work well, advance technologies such as data platform, big data, data mining, machine learning, cloud, etc. are critical. In VISA, we have all of these. The Data Platform Department is in the center for many of these technologies and development. The Data Platform team is a key component of Visa's Technology organization that provides an enriched and valuable ecosystem of data platform and data services that drive innovation for our partners and clients, within Visa and globally. Data is the most valuable asset in Visa. The Data Platform Department is dedicated to develop advanced technology (e.g. Cloud, Machine Learning and Big Data), systems and services to make data secure, high quality, rich, fast, and easy to use, therefore enabling Visa the ability to leverage its data asset in an effective and timely manner to maximize technology/business development and differentiate Visa from others in the payment industry. The department maintains tens of petabytes of data supporting over 100 services for various internal lines of business and external clients. Position Summary: To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The data platform team supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. This position reports to the Sr. Director of Architecture for Data as a Service team in Data Platform and will be based in Bellevue, WA. Responsibilities Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems Communicate with internal and external clients to understand the challenges they face and convince them with data Extract and understand data to form an opinion on how to best help our clients and derive relevant insights Develop visualizations to make your complex analyses accessible to a broad audience Partner with a variety of Visa teams to provide comprehensive solutions Find opportunities to craft products out of analyses that are suitable for multiple clients Contribute to the Data Platform strategies and roadmap development to meet business objectives with existing or emerging technologies. Ability to translate business concepts to technical terms. Understands and communicates company goals and objectives. Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies, keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost. Engage with Data Platform customers/partners to understand their needs and provide suggestions/guidance on what data platform techniques are appropriate to solve their problems with pros/cons articulated clearly. Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then hand over to (may lead) a small group of devs to finish. Provide mentorship and help team growth especially on technical side. Can you take on the responsibilities described above? Then please apply! Independent of years of experience or educational background, successful candidates frequently have a mix of the following qualifications: Experienced technology leader with a minimum of 10+ years of software development experience including 2+ years of data science experience. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus) Experience with extracting and aggregating data from large data sets using SQL, Hive or other tools Competence in Excel, PowerPoint and Tableau Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others) Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required Technical background in data with deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required. Experience in statistics, data mining, machine learning and operational excellence of production systems is a plus. Strong at technical goal setting for a project with actionable success metrics. Good knowledge and experience on measuring a service from user experience angle. Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones. Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate architectural issues and concepts to multiple organization levels and executive management. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa Inc. 3.7

Bellevue, WA

Foster City, CA

10000+ employees

Company - Public

IT Services

Information Technology

$10+ billion (USD)

American Express, Mastercard, Discover

Visa Inc.

WA

Senior Data Scientist - Algorithms

$150K-$180K (Glassdoor est.)

Company Description: Quartet is a pioneering healthcare technology company striving to improve the lives of people with mental health conditions. We connect people to a personalized care team to get them the right care at the right time. Our collaborative technology platform and range of services brings together physicians, mental health providers, and insurance companies to effectively improve patient outcomes and drive down healthcare costs. Backed by $93MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, and Polaris Partners, Quartet is headquartered in NYC and is currently operating in several markets across the United States — Pennsylvania, Washington, Northern California, and New Jersey. Role Description: As a Sr. Data Scientist at Quartet, you will work in collaboration with other data scientists, bioinformaticians and platform engineers. In this role, you will build machine learning models and recommendation services to enable our applications to suggest timely and appropriate behavioral health care interventions for patients. You'll work with datasets that include millions of detailed medical, pharmacy, lab claims, EHR, and application data. You will help with development and validation of new algorithms that enhance our system in terms of scalability, reliability and accuracy. The ideal candidate will be an entrepreneurial, motivated data scientist who is well-versed in data analysis and algorithm implementation and eager to learn new things and make an impact on the industry. Health data experience is a plus, but it's not necessary. Responsibilities: Work with an interdisciplinary technical team to develop statistical models in Quartet’s platform. Apply data mining and machine learning techniques to develop better personalization and recommendation for patients’ and doctors’ needs. Design and develop effective models, features, and algorithms involving multiple datasets - user activity, EHR, ADT, medical claims, pharmacy claims, lab test claims etc. Derive insights from descriptive analysis that drive a data-informed process for experimenting with new products to improve patient outcomes. Qualifications: Experience building high quality data products. 7+ years experience as a data scientist, software engineer with predictive modeling, or similar experience of solving real problems with data mining and machine learning techniques. PhD or Master’s Degree in computer science, machine learning, applied statistics, physics, or a related quantitative discipline. Proficiency in building Machine Learning (supervised and unsupervised) models and recommendation systems. Strong knowledge of mathematical fundamentals: probability theory, linear algebra and statistics. Ability to execute, starting from problem definition, to a working implementation. Ability to clearly communicate across disciplines and work collaboratively. Proficiency in Python and code versioning systems like git. Expertise with data science toolkits like scikit-learn and pandas. Knowledge of software architectures and tools such as Scala, Hadoop. Familiarity working in a Linux server-based environment. Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, catered lunches, snacks, team events and outings, full medical, dental + vision coverage, generous parental leave, commuter benefits, 15 free therapy sessions + unlimited copay reimbursements for mental healthcare, 401K, ESPP, gym benefits. Want to know what Quartet life is like? Click here to meet our team. Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet. Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: security@quartethealth.com. Have someone to refer? Email talent@quartethealth.com to submit their details to us.

Quartet Health 3.9

New York, NY

New York, NY

201 to 500 employees

Company - Private

Enterprise Software & Network Solutions

Information Technology

Unknown / Non-Applicable

-1

Quartet Health

NY

Information Security Data Analyst

$42K-$80K (Glassdoor est.)

Company Overview At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security. Department Overview Our IT organization isn’t just here to support our business. We’re here to reinvent it – by changing the way our customers, partners and employees interact with our company. To do that, we’re looking for people who bring great ideas and who make our partners’ ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change, but who accelerate it. Job Description MSI has a global and dynamic environment; threats to its information systems can come from many sources, both external and internal to the organization. We are looking for a Data Analyst to help drive various security initiatives. In this role, one will have the ability to make an impact and create positive change through the use of cutting edge technology to mine and analyze data to identify and remediate cyber threats. Ultimately, the Data Analyst will contribute to a world class program to help keep MSI’s data secure so MSI can facilitate critical communications and help customers around the world be their best in the moments that matter. MSI values collaboration, transparency, diversity, and continual innovation. Professional development is encouraged and supported. Our team is made up of individuals who want to grow, try new ideas, and most of all, stop adversaries from harming our organization. Skills and attributes for success: Individual contributor with 2-5 years of experience in cyber security, big data, and/or machine learning (time can overlap) Practical experience in analytics, machine learning, or big data and have a suitable mathematics/statistical background Strong written and verbal communications, attention to detail, interpersonal and networking skills Highly creative, motivated self-starter who can provide leadership in big data analytics. Strong sense of ownership and driven to manage tasks to completion. Roles and responsibilities: Lead Information Security’s data analysis program incorporating elements such as data hygiene, machine learning, and threat hunting to identify and remediate threats and address strategic initiatives. Perform analysis on data related to patterns of malicious activity. Provide insights and recommendations pulled from analysis to leadership and team members. Work with the Security Engineers on any necessary data modeling to facilitate investigation. Work closely with the Threat Response, Insider Threat, Vulnerability Management, and Threat Intelligence teams to implement custom detection of new and emerging threats. Conduct big data analytics and analyze data sets for anomalies and trends. Build dashboards highlighting the key trends of the data. Develop advanced scripts for the manipulation of multiple data repositories’ to support analysts’ requirements. Collect cyber-related data and perform analytics to identify meaningful and actionable information. Ability to analyze, retain and improve machine learning models. Desired Skills/Qualifications Familiarity with malware, host forensics, or network traffic analysis. Experience with machine learning, artificial intelligence and natural language processing techniques Ability to analyze, retain and improve machine learning models. Ability to create UBA/UEBA models to identify insider risk. Direct experience in Information Security Knowledge of threat vectors and attack methodologies focusing on both internal and external actors Ability to create threat models to identify new areas for analysis Experience with SIEM usage Database knowledge (SQL and/or document databases) Proficiency in statistics such as distributions, predictive modeling, data validation, statistical testing, regression. Graduate Degree in Computer Science or Engineering, with a strong quantitative background. Experience with data science automation, data mining, informatics programming, computational algorithms, information retrieval (i.e., organizing and structuring data), statistical analysis, software engineering, and/or systems design and analysis. Experience with scalable distributed data processing, management, and visualization tools (e.g. Hadoop, Apache Spark). Expert knowledge of Python. Basic Requirements Must be a U.S. citizen Bachelor's Degree or Master's Degree in Computer Science, Engineering, or related field 2+ years of professional experience with data science automation, data mining, informatics programming, computational algorithms, information retrieval (i.e., organizing and structuring data), statistical analysis, software engineering, and/or systems design and analysis Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement Motorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic. If you are a current Motorola Solutions employee, please click this link to apply through your Workday account.

Motorola Solutions 3.7

Chicago, IL

Chicago, IL

10000+ employees

Company - Public

Computer Hardware & Software

Information Technology

$5 to $10 billion (USD)

Cisco Systems, Huawei Technologies, IBM

Motorola Solutions

IL

Lead Data Engineer

$190K-$220K(Employer est.)

Credit Sesame is bringing cash and credit together in a new, seamless way that helps consumers establish a direct path to financial wellness. Empowering members to own their credit is our number one mission. Since 2009, we’ve been helping millions of members improve their credit scores, lower the cost of their credit, and save money. When you join Credit Sesame, you become part of a team devoted to helping people take charge of their credit so they can live better lives. We are looking for a Data Engineer Lead to manage the pipelines that move our data from multiple source systems to the Data Warehouse (AWS Redshift). You will manage the productionizing of Machine Learning models for both batch mode and also hosts Model-as-a-Service as RESTful services. You will also integrate with marketing partners, business collaborators and manage the data ingestion for revenue information coming from partners. Are you looking to manage infrastructure that powers our platform for millions of users? If so, we'd like to talk with you! You'll... be the point person and data expert on one or more domains of the platform; write ETLs to add new integrations and new data to the warehouse; support existing pipelines and important application events within infrastructure stack; support architectural efforts including choice of ETL platforms and reviewing Database performance; manage and build monitoring of technology platform components and measure metric deviations & build a culture of observability within the team; oversee the release, support production deployment, and build and scale API stack to serve ML model results; work with peers in Data Governance and Analytics to solicit input and feedback to improve the data and process; build strong partnership with Data Science to understand tools and infrastructure that can be built for model pipelines; manage predictive model data in the warehouse including tools and infrastructure. You're a great fit for our team because... you're familiar in one of these languages with Object Oriented Programming including Java, Python, Groovy; you're able to write complex SQL queries and able to optimize queries; you have experience with a Massively Parallel Processing DB like Redshift; you're comfortable with Big Data processing frameworks like Apache Spark; you have a Bachelor's degree or equivalent; you have mentored team members. You’ll love it here because... you‘ll have huge potential to grow with a company that’s a category leader; you’ll have equity in a pre-IPO company backed by top VCs; we offer comprehensive medical, dental, and vision insurance with many plan options; we have lunch catered daily; you can stay on top of your fitness goals with our on-site fitness centers; we offer monthly fitness, phone and internet reimbursement; you can fuel up at our stocked kitchens with endless snacks and drinks; we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony (read more about Credit Sesame’s Key Values here: https://www.keyvalues.com/credit-sesame). Office Location Our Mountain View office is located within walking distance of the Caltrain station and in the heart of downtown Mountain View with great cafes, restaurants, and shops. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Office Location Our Mountain View office is located within walking distance of the Caltrain station and in the heart of downtown Mountain View with great cafes, restaurants, and shops. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Credit Sesame 4.1

Mountain View, CA

Mountain View, CA

51 to 200 employees

Company - Private

Internet

Information Technology

$50 to $100 million (USD)

Credit Karma, LendUp, SoFi

Credit Sesame

CA

Data Analyst

$42K-$77K (Glassdoor est.)

The mission of Success Academies is to reimagine public education. From the classroom to the halls of government, this means finding profoundly different approaches to how we structure, implement and support schooling. We reconceive every aspect of school design, from writing rigorous new curricula to drawing regularly on the advances in technology and business that are transforming every sector except education. Over the past decade, Success Academies has grown faster than any charter network in the nation, building a vibrant network of 47 elementary, middle and high schools. Our ~16,000 children mostly poor and minority are out-performing students at top city and suburban schools across New York State. Our goals for our second decade are even more ambitious: to grow to 100 schools and to educate 50,000 children across New York City in a uniquely holistic pre-k-12 system, bringing transformational change here and across the country. At 100 schools, we will graduate 3,000 scholars each year who are prepared to enter, persist and graduate from college and eventually to lead in business, government and civic realms. Scaling schooling excellence as we rapidly grow is an imperative. To further position the organization to do this, Success Academies is prioritizing the continued build out of a scalable, technology enabled model for operating and managing its schools by establishing a School Management Services capability that is intended to deliver an enhanced set of services to better support our network schools. A key pillar of School Management Services is Data & Analytics -- data science, analytics and reporting combined represent a critical function to enable our enterprise to be truly data-driven. An enhanced Data & Analytics capability is needed to put in place a baseline of actionable management reporting that adheres to high reporting standards, generates standard and ad-hoc reporting, and performs meaningful analytics. The Data Analyst reports to the Director of Enterprise Data & Analytics. In this role, you will: Produce actionable data insights for our network of schools in the form of interactive dashboards and visualizations, ad hoc reports and analysis. Act as a product manager developing expertise and a vision in one or more domains of schooling data, producing brilliant dashboards and reports while striving for continuous, iterative improvement based on research and feedback from users. Continuously partner with Network and School-based staff to understand school and business data needs and translate those requirements into high-quality work. Serve as a steward of data integrity, applying rigorous standards for calculation of metrics and helping to drive adoption of data governance and data security best practices. Do the work of extracting, transforming and analyzing data with well-formed SQL queries and data and scientific libraries. Be comfortable working in and presenting data in spreadsheets when that is the right solution. Be a change agent and drive innovation with your own ideas. Work in an energetic office on the waterfront in Lower Manhattan, and spend time in our network of high-performing schools where you will be able to see how your work impacts the lives of our scholars, teachers and school leaders. Wed love to hear from you if: You have spent 2-5 years in a similar data analytics role or have equivalent technical competence and experience in education. Have a demonstrated passion for data and working in data-driven organizations. Can construct elegant SQL queries and will keep profiling and optimizing them until they are as efficient as possible. Have familiarity with data warehouse technologies and best practices. Have experience with one or more data BI visualization tools (we are using Sisense) and/or libraries such as D3. Have a high level of comfort using the Python scientific and data libraries, particularly Pandas (or strong familiarity with a comparable system like R, and a strong willingness to learn Python/Pandas). Are comfortable working with ambiguity and possess the discipline to strive for simplicity, clarity and accuracy. Possess top-notch communication skills that allow you to partner with a diverse set of stakeholders and present to executive audiences. Are excited by the opportunity to help reimagine public education.