Senior Data Scientist

Responsibilities:

• Lead advanced analytics for pharmaceutical commercialization, translating business questions into actionable insights and communicating with both technical and non-technical stakeholders.
• Apply techniques like segmentation, cohorting, and predictive modeling using Python, and develop machine learning approaches such as random forest and XGBoost for commercial pharma use cases.

Qualifications:

• Master’s degree in a quantitative field with 4–6 years of experience in analytics or data science, including 2+ years in pharma or life sciences, and proficiency in Python, SQL, and healthcare data like claims and syndicated sources.
• Preferred experience includes predictive modeling, cloud-based platforms like Databricks, CRM data familiarity, BI tools, and consulting in life sciences analytics.

Benefits and Culture:

• Offers competitive compensation, benefits including medical, dental, vision, 401k, and paid maternity/paternity leave, along with employee discounts and recognition programs.
• Features an exceptional, collaborative culture, recognized as a Best Places to Work in BioPharma and a Certified Great Place to Work, with a global team of over 7,000 experts across more than 20 countries.