Data Science Analytics Jobs in Connecticut (NOW HIRING)

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.

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.

• 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

• 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

• 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

40

Full time

The typical pay range for this role is:

$83,430.00 - $203,940.00

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.

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.

We anticipate the application window for this opening will close on: 07/14/2026

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