Measurement Science Lead

Amgen · Hyderabad, India

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Role summary

This Data Science Manager role focuses on designing and leading causal inference studies to measure the impact of commercial and customer engagement strategies. The position requires expertise in advanced statistical methods, experimental design, and quasi-experimental techniques, with responsibility for mentoring data scientists and translating analytical findings into business recommendations. Based in Hyderabad, the role suits candidates with 5–7 years of experience in causal inference, experimentation, or marketing science.

What they're looking for

5-7 years experience in causal inference, experimentation, marketing science, or data science
Advanced expertise in causal inference, statistical modeling, and experimental design methods
Proficiency with quasi-experimental techniques like propensity score matching and difference-in-differences
Strong programming skills in Python and SQL for large-scale data analysis
Ability to communicate complex statistical insights to non-technical business stakeholders
Life sciences, healthcare, or pharmaceutical analytics experience preferred
Commercial analytics background preferred

What you'll be doing

Lead causal inference and impact measurement initiatives for commercial and customer engagement strategies
Apply statistical methods and experimentation to quantify incremental business impact and guide decisions
Develop attribution frameworks connecting field and digital customer engagement channels
Collaborate with business teams to convert commercial questions into analytical insights
Mentor data scientists and establish best practices in causal analytics and measurement

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Date posted43 days ago

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