Sr. Data Scientist – Data Sciences & AI
Core
Design, develop, and deploy complex AI/ML and Generative AI applications to optimize global supply chain strategies and medicine delivery.
Role type
Senior Applied AI Data Scientist (Supply Chain)
Builds
Scalable AI prototypes, production-ready code, and digital capabilities for supply chain decision-making and automation.
Domain
Life Sciences / Pharmaceutical Supply Chain
Deliverable
production ML models | product features
Required skills
Generative AI and LLM application development, AI orchestration frameworks (LangChain, LangGraph), Python, SQL/NoSQL, predictive modeling, feature engineering, vector database integration, prompt engineering, responsible AI governance
Preferred skills
Pharma/life sciences domain knowledge, GxP/HIPAA compliance familiarity
Technologies
Python, LangChain, LangGraph, vector databases, APIs, data pipelines
Responsibilities
Rapid prototyping of AI solutions, developing GenAI/LLM applications, integrating AI into supply chain workflows, owning end-to-end AI solution lifecycle, creating technical documentation, evaluating emerging AI technologies, collaborating cross-functionally, translating requirements into Agile delivery plans
Seniority
Senior, hands-on IC
