Data Scientist, Sr. Specialist, Supply Risk Analytics

Bristol Myers Squibb · New Brunswick, NJ

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ResearchFull-time$78k–$94kCompany career page

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Role summary

Bristol Myers Squibb seeks a Data Scientist, Sr. Specialist to join the Supply Risk Analytics team in New Brunswick, NJ. The role focuses on developing AI-enabled analytics and machine learning models to quantify and mitigate risk across the pharmaceutical supply network, working alongside experienced data scientists in an early-career position with clear growth opportunities.

What they're looking for

B.S. or M.S. in data science, statistics, operations research, engineering, computer science, or related life sciences discipline
2–4 years of experience in data analysis, informatics, IT, or scientific data-focused role
Proficiency in Python and SQL for data manipulation, analysis, and modeling
Solid grounding in statistics, probability, and hands-on exposure to machine learning or generative AI
Strong written and verbal communication skills; collaborative and learning-oriented mindset
Ability to work effectively across global teams and multiple time zones

What you'll be doing

Develop and maintain machine learning and probabilistic models, including Monte Carlo simulation, to quantify supply risk metrics
Build generative AI features using Claude for risk narratives, intelligent alerts, and automated scenario analysis
Create interactive dashboards and front-ends (Streamlit, React) to operationalize risk models for business users
Partner with supply chain and business continuity stakeholders to translate risk questions into analytical problems and present findings
Write clean, reusable Python and SQL code; work with data engineering on Databricks and AWS Glue pipelines

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