Associate Data Scientist

Design, develop, deploy, and maintain predictive models for marketing analytics in life sciences.

Manage end-to-end analytics projects focused on marketing effectiveness, sales engagement, demand planning, and customer segmentation.

Perform advanced data analysis on structured and unstructured data to drive business decisions and maintain high standards in pharma analytics.

Masters degree in Statistics, Marketing, Finance, or Operations Research.

2-3 years of experience in analytics with advanced modeling using tools like R or Python.

Experience with promotional channels, digital analytics, and data mining.

Strong communication skills to effectively translate analytics into actionable business insights.

Experienced in applying analytics specifically to sales, marketing, or managed markets problems within life sciences.

Comfortable handling high-pressure client service environments and proactive project engagement.

Familiar with pharma domain data assets including transactional volumes, prescription (Rx), specialty, and longitudinal patient-level data.