CVS Health
Decision Scientist
NewWhat's your preference?
Job Description
- Req#: R0619384
At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Decision Scientist to Consult with internal clients to identify opportunities to develop and implement data science solutions to business problems by transforming data into meaningful information. Duties include: apply data mining, data modeling, machine learning, statistical analyses, and predictive and descriptive modeling to extract and manipulate data from multiple large data sources and inform solutions for data science teams; utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data and effectively communicate insights to inform business decisions; compare modeling techniques using statistical performance metrics and recommend improvements; structure data analysis to drive analytics insights and help data scientists determine the best analytical solutions; visualize, interpret, and report data findings to internal clients and leadership; collaborate with business partners to understand requirements and develop statistical analysis and predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics and potential future outcomes; design and develop data science solutions using industry leading tools, technologies and best practices; and consult on the creation of analytics solutions that effectively weigh business strategy and technical tradeoffs relevant to big data environment. Telecommuting available. Multiple positions.
- Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, Operations Research, Information Engineering, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Programming in R, Hadoop, or Python; SAS or SQL; Machine learning, statistical analysis, and predictive modeling; Visualization tools, including PowerBI or Tableau; Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure); Quantitative analysis techniques, including clustering, regression, and pattern recognition; Designing data models and solutions for analytical and reporting use cases; and Contributing to large-scale applications development, data science, or data analytics projects.
Pay Range: $104645.00/year to $150000.00/year.
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit https://jobs.cvshealth.com/us/en/benefitsQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
About the company
At CVS Health, we share a clear purpose: helping people on their path to better health. Through our health services, plans and community pharmacists, we’re pioneering a bold new approach to total health. Making quality care more affordable, accessible, simple and seamless, to not only help people get well, but help them stay well in body, mind and spirit.
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.