Sr. Data Scientist

Posted 11 Days Ago
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Hartford, CT, USA
In-Office
102K-204K Annually
Senior level
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Design and develop data solutions to profile and ingest large healthcare-related datasets; build statistical and machine learning predictive models; perform exploratory data analysis, cleaning, and visualization; extract and manipulate data from multiple sources; deploy insights across channels to inform pharmacy, medical cost, risk scoring, and customer engagement solutions.
Summary Generated by Built In

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Hartford, CT: Sr. Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple Positions.
Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, thesis, or six (6) months of experience in each of the following:
• Big Data, Smart (Semantic) Data, data modeling, and data visualization and applicability to health, education, public safety, or other public and private sectors;
• Development of subroutines/codes/scripts;
• Exploratory data analysis, including pre-processing, cleaning, and preliminary examination;
• Descriptive analytics concepts, including sampling and statistical inferences, in the public and private sector;
• Predictive analysis techniques, including regression, forecasting, and simulations;
• Visual and graphical representation of data;
• Quantitative decision-making using data received from multiple sources;
• Machine learning, including developing algorithms, data mining, pattern recognition, and supervised/unsupervised learning;
• Programming in R, Octave, and Python; and
• Matlab, SAS, or SPSS.
Pay Range: $101970.00/year to $203940.00/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. 
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. 
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on
Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Skills Required

  • Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field (or foreign equivalent)
  • Experience with Big Data, Semantic (Smart) Data, data modeling, and data visualization applicable to health or related sectors
  • Development of subroutines, code, and scripts
  • Exploratory data analysis including pre-processing, cleaning, and preliminary examination
  • Knowledge of descriptive analytics concepts including sampling and statistical inference
  • Predictive analysis techniques including regression, forecasting, and simulation
  • Visual and graphical representation of data
  • Quantitative decision-making using data from multiple sources
  • Machine learning experience including algorithm development, data mining, pattern recognition, supervised and unsupervised learning
  • Programming in R, Octave, and Python
  • Experience with MATLAB, SAS, or SPSS
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The Company
HQ: Woonsocket, RI
119,959 Employees
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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