Senior Data Scientist: AI-Driven Supply Risk

Bristol-Myers Squibb Co; New Brunswick (NJ); Hybrid; USD 78,000 - 94,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid company holidays

160 hours paid vacation

Job summary

Bristol-Myers Squibb Co is hiring a Data Scientist, Sr. Specialist to join the PDS BI&T team in New Brunswick, NJ. You will work on AI-enabled risk analytics to quantify and mitigate supply risk across the network, collaborating with data scientists and engineers in a dynamic, agile environment.

You will apply Python/SQL, ML, and Generative AI tools (Claude Code) to develop models, dashboards, and automated analyses, with a clear growth path and cross-functional exposure across global teams.

Qualifications

• BS/MS in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
• 2–4 years of IT, informatics, data analysis, or scientific data-focused experience.
• Proficiency in Python and SQL with solid statistics grounding.
• Exposure to ML or Generative AI and interest in Claude Code.
• Clear communication and collaboration in a global team.

Responsibilities

• Contribute to ML and probabilistic models (Monte Carlo) to quantify supply risk.
• Develop Generative AI features using Claude for risk narratives and alerts.
• Build forecasting and anomaly detection components with risk scores and early warnings.
• Create interactive front-ends (Streamlit/React) for business users and automate analyses.
• Document assumptions, data, methodologies, and validation per responsible AI practices.

Skills

Python

SQL

Monte Carlo

Generative AI

Claude Code

Data Visualization

Education

BS/MS in a relevant field

Tools

Databricks

AWS Glue

React

Streamlit

GitHub Actions

Jira

Job description

Bristol-Myers Squibb Co is hiring a Data Scientist, Sr. Specialist to join the PDS BI&T team in New Brunswick, NJ. You will work on AI-enabled risk analytics to quantify and mitigate supply risk across the network, collaborating with data scientists and engineers in a dynamic, agile environment.

You will apply Python/SQL, ML, and Generative AI tools (Claude Code) to develop models, dashboards, and automated analyses, with a clear growth path and cross-functional exposure across global teams.