Data Science Manager

3 days ago


Hyderabad, Telangana, India Amgen Inc Full time ₹ 15,00,000 - ₹ 30,00,000 per year

What you will do

  • Design and build predictive models to support patient analytics, including alerts, triggers, segmentation, and event prediction for specific brands or therapeutic areas.
  • Lead the measurement of campaign performance and early signal analytics, including causal inference and experiment-based frameworks.
  • Translate complex model 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

  • Masters degree in Data Science, Computer Science, Public Health, or related field.
  • 5-7 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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