Senior Data Scientist - Decision Sciences

odel outputs into clear business-facing summaries to enable decision-making by commercial and brand teams.

• Contribute to the design of pilots, A/B tests, and analytic frameworks to support test-and-learn strategy.

• Develop, validate, and maintain machine learning models using Python, PySpark, and Databricks across large longitudinal datasets.

• Maintain best practices in model versioning, QC, documentation, and reproducibility using MLflow and Git.

• Collaborate with brand partners, global analytics, and engineering teams to ensure seamless model deployment and interpretation.

Thrive | What you can expect

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

Basic Qualifications

• Master's degree in Data Science, Computer Science, Public Health, or related field.

• 7-14 years of hands-on experience in predictive modeling, machine learning, or healthcare analytics.

• Strong programming skills in Python and SQL, with experience using Databricks or similar platforms.

• Solid grasp of experimentation methods including causal inference, uplift modeling, and A/B testing.

• Experience working with patient-level or longitudinal healthcare data (e.g., claims, EMR, lab).

Preferred Qualifications

• Experience in life sciences, pharma, or regulated health analytics environments.

• Familiarity with MLflow, AWS, Git, and DevOps-style model deployment workflows.

• Understanding of patient journey analytics and use cases such as HCP segmentation or patient triggers.

• Exposure to RAG/LLM applications in data science is a plus.

Strong communication skills and ability to work across technical and business stakeholders.

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