Principal Data Scientist

CVS Health

1d

About The Position

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 At CVS Health, we’re leveraging advanced analytics techniques, consulting approaches, and healthcare expertise to power innovative product applications. The Analytics and Behavior Change organization is the internal analytics department deploying new sources of business value through the application of advanced analytics. As a Principal Data Scientist on the drug forecasting team you will build models for "what if" scenarios planning of the impact of market dynamics, regulatory changes, and pharmaceutical innovation on the financials of the company and our clients.

Requirements

• Advanced proficiency in causal inference, including: Causal modeling frameworks (e.g., DAGs, SCMs, structural causal models). Estimation techniques such as propensity score methods, inverse propensity weighting, doubly robust estimators, and causal forests. Experience implementing counterfactual reasoning and what‑if scenario exploration systems at scale.
• Strong experience with time series modeling for forecasting, using modern statistical and machine‑learning approaches (ARIMA, state‑space models, Prophet, DeepAR, RNN/LSTM/Temporal Fusion Transformers).
• Expertise in machine learning and statistical modeling, including regression, classification, ensemble methods, and model interpretability.
• Demonstrated ability to design, validate, and operationalize end‑to‑end ML pipelines, from feature engineering to deployment.
• Strong programming skills in Python (preferred) and proficiency with scientific computing libraries (NumPy, pandas, scikit‑learn, PyTorch/TensorFlow).
• Experience with data engineering fundamentals: SQL, distributed data systems (e.g., Spark), data quality assessment, and data architecture concepts.
• Familiarity with MLOps concepts and tools for versioning, automation, and monitoring.
• Proven ability to design frameworks that enable counterfactual, scenario‑based decision support for business strategy.
• Experience partnering with product, engineering, and business teams to translate ambiguous strategic questions into analytic frameworks.
• Track record of shipping and maintaining models or analytical capabilities used by business stakeholders.
• Ability to lead complex analytical initiatives with minimal guidance, including technical direction and cross‑functional alignment.
• Strong communication skills: can explain causal assumptions, model limitations, and uncertainty to both technical and non-technical audiences.
• Experience mentoring other data scientists; ability to raise the technical bar for the team.
• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

Nice To Haves

• Master’s degree or PhD preferred

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal