Data Science Manager (Commercial) L5

HOW MIGHT YOU DEFY IMAGINATION

Live | What you will do

- Lead causal inference and impact measurement initiatives to evaluate the effectiveness of commercial and customer engagement strategies.
- Apply advanced statistical methods and experimentation to quantify incremental business impact and inform decision-making.
- Develop attribution frameworks across field and digital channels.
- Partner with business teams to translate commercial questions into actionable insights.
- Mentor data scientists and champion best practices in causal analytics and measurement.

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 setting where data science is used to improve commercial decision-making, strengthen customer engagement,



and help teams better understand patient and HCP needs.

Basic Qualifications

- 68 years of experience in causal inference, experimentation, marketing science, commercial analytics, or data science.
- Strong expertise in statistical modeling, experimental design, and impact measurement.
- Proficiency in Python, SQL, and large-scale analytics environments.
- Ability to communicate complex analytical findings to business stakeholders.

Preferred Qualifications

- Experience in life sciences, healthcare, or pharmaceutical analytics.
- Experience with attribution, incrementality, omnichannel measurement, and marketing effectiveness.
- Familiarity with causal ML, uplift modeling, A/B testing, and quasi-experimental methods.

📌 Data Science Manager (Hyderabad)
🏢 Amgen
📍 Hyderabad