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Amgen Logo Amgen · IT - Software Development

Data Science Manager

India, Hyderabad · Job Posted June 28, 2026
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Job Responsibility

  • Build and maintain models that identify and prioritize HCPs based on factors such as treatment behavior, patient opportunity, prescribing patterns, referral dynamics, engagement history, channel responsiveness, and likelihood to act
  • Provide technical guidance and mentorship to data scientists, ensuring best practices in feature engineering, model development, validation, measurement, reproducibility, and business interpretation
  • Partner with brand, sales, field operations, global analytics, data engineering, and technology teams to ensure HCP models are business-relevant, scalable, explainable, and deployable into downstream systems

Requirements

  • 7 years of hands-on experience in predictive modeling, machine learning, and commercial analytics
  • Demonstrated experience building predictive models for customer targeting, scoring, prioritization, and segmentation
  • Strong programming skills in Python and SQL, with experience working in Databricks, PySpark, or similar big data environments
  • Strong understanding of feature engineering, model validation, model performance evaluation, explainability, and business translation
  • Ability to convert ambiguous commercial questions into structured analytics problems, modeling approaches, and actionable recommendations
  • Experience with explainable ML techniques and the ability to communicate key model drivers to non-technical business stakeholders
  • Strong ownership mindset, structured problem-solving ability, and bias toward action in a fast-paced business environment

Nice to have

  • Experience in life sciences, pharma, biotech, or regulated healthcare analytics environments
  • Experience working with large-scale healthcare and commercial datasets, such as claims, EMR, lab, Rx, patient longitudinal data, CRM activity, sales, call activity, and digital engagement data
  • Deep understanding of HCP analytics, including targeting, prioritization, segmentation, field force optimization, omnichannel engagement, patient opportunity sizing, and treatment journey analytics
  • Experience working with IT teams to deploy models into production or business workflows
  • Exposure to advanced methods such as uplift modeling, causal inference, graph/network analytics, and reinforcement learning, in commercial data science
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