Data Science Manager

• →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.

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.

• 6–8 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.

• 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.