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About the role
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Data Science Manager
remote typeOn Site
locationsIndia - Hyderabad
time typeFull time
posted onPosted 30 Days Ago
job requisition idR-228279
Career Category
Engineering
Job Description
HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
Live | What you will do
- 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.
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.
You will be part of a collaborative analytics environment where data science is used to improve commercial decision-making, strengthen customer engagement, and help teams better understand patient and HCP needs.
Basic Qualifications
- 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.
Preferred Qualifications
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Experience in life sciences, pharma, biotech, or regulated healthcare analytics environments.
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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.
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Deep understanding of HCP analytics, including targeting, prioritization, segmentation, field force optimization, omnichannel engagement, patient opportunity sizing, and treatment journey analytics.
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Experience working with IT teams to deploy models into production or business workflows
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Exposure to advanced methods such as uplift modeling, causal inference, graph/network analytics, and reinforcement learning, in commercial data science.
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remote typeOn Site
locationsIndia - Hyderabad
time typeFull time
posted onPosted 30+ Days Ago
About Us
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.
Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.
For more information, visit www.amgen.com and follow us on www.twitter.com/amgen
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