Data Scientist (Commercial)

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  Support the execution of analytics and modeling projects across therapeutic area (TA) delivery and/or investment analytics teams.

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  Assist in data preparation, exploratory analysis, metric tracking, and performance reporting with high accuracy.

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  Help maintain and operationalize dashboards or reusable code assets in Databricks or Python/SQL environments.

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  Contribute to project delivery by partnering with senior data scientists and leads on model building, testing, and result summaries.

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  Support documentation, version control, and deployment practices using standardized platforms and tools.

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  Stay curious — continuously learn about methods such as marketing mix modeling, predictive modeling, A/B testing, and causal inference.

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.

• Bachelor’s or Master’s in Data Science, Engineering, Statistics, or a related quantitative field.

• 3–5 years of experience in analytics, modeling, or data science delivery.

• Working knowledge of Python and SQL; comfort working in Databricks or similar environments.

• Experience with data visualization and performance metric tracking.

• Strong attention to detail and a focus on delivering high-quality, reproducible work.

• Exposure to marketing mix modeling, predictive modeling, or experiment-based analytics.

• Interest in life sciences, healthcare, or pharma analytics environments.

• Familiarity with tools such as MLflow, Git, or Jupyter notebooks.

• Demonstrated ability to collaborate with analysts, engineers, or business partners to get things done.