This role is for individuals who can challenge assumptions, conceptualize novel analytical approaches, and harness emerging technologies to deliver transformative business solutions
Job Summary
This role is for individuals who can challenge assumptions, conceptualize novel analytical approaches, and harness emerging technologies to deliver transformative business solutions.
The individual will help scale current solution delivery across brands and channels while also building future-ready capabilities through modern data platforms, AI-augmented development, intelligent automation, and emerging agentic ways of working.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Matching Summary
This role is for individuals who can challenge assumptions, conceptualize novel analytical approaches, and harness emerging technologies to deliver transformative business solutions.
Skills & Requirements
Must-have
Python data science and engineering
MLOps tools: MLflow, Git, CI/CD
Large structured/unstructured datasets
Predictive or generative AI models
Modern data pipelines and orchestration
Time-series forecasting
Experimentation and causal inference
Nice-to-have
Healthcare, clinical trials, pharma datasets
Agentic AI architectures
LLM-driven projects
Agentic AI frameworks
Tool-calling, orchestration, autonomous reasoning
Key Requirements
2-5 years of experience
Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Statistics, Engineering, or related field
ETL/ELT, transformation, and validation pipelines experience
AWS/Azure/GCP and modern data ecosystems experience