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
The Senior Data Scientist within CVS Health is on the front line of driving innovation, directly impacting business decisions. This role is part of a team that works across the Pharmacy Benefits Management ecosystem building analytical cloud-based platforms, supporting pharmaceutical forecasting and pricing. You will have a chance to modernize legacy systems using cutting edge technology. You will work with teammates from our business groups, product management, data engineering, and application development, as well as with your peers from partner data science groups. This role will create analytics products that are a combination of software, data, and other digital tools providing insights and recommendations to business leaders making tactical and strategic decisions. The analytics products may leverage a combination of descriptive, predictive, and prescriptive analytics approaches.
Required Qualifications
- 3 or more years of relevant analytic experience
- 3 or more years of experience programming using R, Python, SQL
- 3 or more years of experience with dimension reduction, machine learning, and statistical algorithms
Preferred Qualifications
- Advanced knowledge level for SQL
- 3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as scikit-learn, ml-lib, xgboost, keras etc.
- 3+ years’ experience with general linear models, including regression techniques, ensemble models, etc.
- 3+ years of experience coding in Python, including PySpark, pandas
- Experience with time series forecasting and causal modeling techniques
- Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, model drift
- Experience with pharmaceutical or other healthcare domain with large administrative claims datasets including their associated code sets, terminologies, and ontologies
Education
- Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Operation Research, Statistics, Health Policy, or related field
- Preferred: Master’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$83,430.00 - $203,940.00This 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3+ years of relevant analytic experience
- 3+ years programming experience using R, Python, SQL
- 3+ years experience with dimension reduction, machine learning, and statistical algorithms
- Bachelor's Degree in Data Science, Computer Science, Applied Mathematics, Operations Research, Statistics, Health Policy, or related field
- Advanced knowledge level for SQL
- 3+ years applying modern ML techniques and libraries (scikit-learn, ml-lib, xgboost, keras) for classification and regression
- 3+ years experience with general linear models, regression techniques, ensemble models
- 3+ years coding in Python including PySpark and pandas
- Experience with time series forecasting and causal modeling techniques
- Knowledge of full model development lifecycle: EDA, feature engineering, visualization, deployment, monitoring, model drift
- Experience with pharmaceutical or healthcare administrative claims datasets and related terminologies
- Master's Degree in a related field
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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