Data Scientist, Sr. Specialist, Supply Risk Analytics

Role: Senior Data Scientist specializing in Supply Risk Analytics within BMS's Product Development & Supply Business Insights & Technology team. Primary objectives include developing AI-enabled models to quantify, monitor, and mitigate supply network risks, supporting strategic supply decisions. Responsibilities encompass building machine learning and probabilistic models (e.g., Monte Carlo simulations), leveraging Generative AI (e.g., Claude Code) for risk narratives and alerts, creating interactive risk dashboards, and automating analysis workflows. The role involves close collaboration with cross-functional teams in supply chain, quality, and procurement, with a focus on translating complex data into actionable insights. Technical responsibilities include maintaining robust data pipelines on Databricks and AWS, deploying AI applications, and adhering to responsible AI and data privacy standards. The candidate will work within an agile environment, balancing quick analyses with long-term digital product development. Qualifications include a B.S./M.S. in life sciences, informatics, or a technical field, with 2-4 years in data analysis, machine learning, or related roles; proficiency in Python, SQL, and familiarity with AI tools and cloud platforms like Databricks or AWS is required. Preferred skills include experience with LLMs, simulation, CI/CD, and analytic front-end development. While deep supply chain or regulated environment experience is not mandatory, domain knowledge is considered a plus. This is a hands-on, growth-oriented role with responsibilities spanning modeling, engineering, and cross-functional communication.