Senior Data Scientist
Bristol Myers Squibb
16 days ago
Remote friendly (Madison, NJ)
United States
IT
Summary:
As a Senior Data Scientist on Bristol Myers Squibb’s AI Venture Studio delivery team, you will turn ambiguous scientific/business opportunities into measurable AI product hypotheses, experiments, and working solutions. Partner with engineering and domain experts to build and evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.
Key Responsibilities:
- Frame questions into hypotheses, success metrics, evaluation plans, and rapid experiments; participate in 6-sprint/12-week AI Accelerator cycles.
- Build prototypes using Python/SQL/notebooks/APIs and AWS-aligned data services; support sandboxed (non-production) data problem solving.
- Evaluate and curate analytical context for agents/analysts (instructions, memory, tools, curated source meaning); develop features/embeddings/classifiers/ranking/recommendation/simulation/optimization as needed.
- Design and execute evaluations for LLM, RAG, and agentic workflows; build rubrics/golden datasets; measure hallucination risk; use tools like LangGraph/LangSmith/PydanticAI.
- Define KPIs and measurement plans; apply statistical modeling/experimental design/causal or quasi-experimental methods; produce analyses and stakeholder-ready narratives.
- Contribute reusable evaluation/analytics assets; conduct reviews and coach peers.
Qualifications & Required Skills:
- BS+ in DS/Stats/CS/Engineering/Bioinformatics/Computational Biology/Applied Math or related.
- 5+ years in data science/ML/applied AI/analytics.
- Proficiency in Python, SQL, R; pandas/NumPy/scikit-learn/PyTorch/TensorFlow/statsmodels (or similar).
- Experience with ML/statistics/NLP/IR/experimentation/decision science for real workflows.
- Hands-on with LLM apps, RAG, agentic AI, prompt/evaluation design, structured outputs, and context/knowledge curation.
- Familiarity with AWS services (S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock) and vector databases/knowledge graphs/metadata/data quality.
- Familiarity with Streamlit and communicating findings to technical and non-technical audiences.
- Effective use of coding agents (e.g., GitHub Copilot/Claude Code/Codex/Gemini CLI) and agile pod collaboration.
Benefits (explicitly listed):
- Health coverage (medical/pharmacy/dental/vision).
- 401(k), disability and life insurance.
- Paid Time Off (flexible time off/unlimited for US exempt employees; paid vacation and holidays for certain locations).
Application Instructions:
- If you don’t perfectly match, still apply (encouraged).
As a Senior Data Scientist on Bristol Myers Squibb’s AI Venture Studio delivery team, you will turn ambiguous scientific/business opportunities into measurable AI product hypotheses, experiments, and working solutions. Partner with engineering and domain experts to build and evaluate AI systems across R&D, Commercialization, Manufacturing, and Enabling Functions.
Key Responsibilities:
- Frame questions into hypotheses, success metrics, evaluation plans, and rapid experiments; participate in 6-sprint/12-week AI Accelerator cycles.
- Build prototypes using Python/SQL/notebooks/APIs and AWS-aligned data services; support sandboxed (non-production) data problem solving.
- Evaluate and curate analytical context for agents/analysts (instructions, memory, tools, curated source meaning); develop features/embeddings/classifiers/ranking/recommendation/simulation/optimization as needed.
- Design and execute evaluations for LLM, RAG, and agentic workflows; build rubrics/golden datasets; measure hallucination risk; use tools like LangGraph/LangSmith/PydanticAI.
- Define KPIs and measurement plans; apply statistical modeling/experimental design/causal or quasi-experimental methods; produce analyses and stakeholder-ready narratives.
- Contribute reusable evaluation/analytics assets; conduct reviews and coach peers.
Qualifications & Required Skills:
- BS+ in DS/Stats/CS/Engineering/Bioinformatics/Computational Biology/Applied Math or related.
- 5+ years in data science/ML/applied AI/analytics.
- Proficiency in Python, SQL, R; pandas/NumPy/scikit-learn/PyTorch/TensorFlow/statsmodels (or similar).
- Experience with ML/statistics/NLP/IR/experimentation/decision science for real workflows.
- Hands-on with LLM apps, RAG, agentic AI, prompt/evaluation design, structured outputs, and context/knowledge curation.
- Familiarity with AWS services (S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, Bedrock) and vector databases/knowledge graphs/metadata/data quality.
- Familiarity with Streamlit and communicating findings to technical and non-technical audiences.
- Effective use of coding agents (e.g., GitHub Copilot/Claude Code/Codex/Gemini CLI) and agile pod collaboration.
Benefits (explicitly listed):
- Health coverage (medical/pharmacy/dental/vision).
- 401(k), disability and life insurance.
- Paid Time Off (flexible time off/unlimited for US exempt employees; paid vacation and holidays for certain locations).
Application Instructions:
- If you don’t perfectly match, still apply (encouraged).