Senior Data Scientist – Pharma, Healthcare

Responsibilities

• Build predictive models for patient events and HCP engagement
• Scale Next Best Action (NBA) solutions across brands and channels
• Develop GenAI agents, RAG workflows, and AI-powered decision tools
• Build and maintain end-to-end ML pipelines (Databricks, AWS/Azure ML)
• Apply MLOps best practices: model versioning, monitoring, CI/CD
• Work with healthcare datasets (claims, EHR, CRM, digital engagement)
• Partner with Sales, Marketing, and Analytics to deliver insights

Requirements

• Master’s or PhD in a quantitative field
• 5–7+ years in data science/ML (pharma commercial preferred)
• Strong Python, SQL, ML modeling, NLP
• Experience with LLMs, GenAI frameworks, LangChain/AutoGen
• Hands‑on with Databricks, AWS/Azure ML, MLOps