Senior Data Scientist - Pharma
Core
Build decisioning engines for next best action (NBA) and next best content (NBC) to guide commercial teams on action, channel, content, and timing for customers or healthcare professionals.
Role type
Senior hands-on IC machine learning engineer (decisioning & personalization)
Builds
Production ML models, deep learning solutions, and reinforcement learning policies for commercial decisioning
Domain
Pharma/Healthcare commercial analytics and Generative AI
Deliverable
production ML models
Required skills
Reinforcement learning, contextual bandits, sequential decision models, propensity modeling, uplift modeling, MLOps, PySpark, Python, SQL, A/B testing, model monitoring
Preferred skills
Life sciences domain knowledge, CRM/CDP platforms, causal inference, regulated data handling, Databricks certifications
Technologies
Databricks, PySpark, Delta Lake, MLflow, Unity Catalog, PyTorch, TensorFlow
Responsibilities
Design and deploy NBA/NBC models; Build ML, deep learning, and reinforcement learning solutions; Develop propensity, response, and uplift models; Run offline policy evaluation and online experiments; Own Databricks training pipelines; Design feedback loops for retraining; Apply GenAI/LLMs for content tasks; Mentor junior data scientists
Seniority
Senior, hands-on IC
