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About the Role

As a Senior Data Scientist in the AI Venture Studio delivery team, you will act as a hands-on individual contributor converting scientific and business opportunities into AI product hypotheses, experiments, and solutions. You will collaborate with cross-functional engineering and product teams to build and evaluate AI systems across R&D, Commercialization, and Manufacturing, focusing on the intersection of applied data science and AI engineering.

Responsibilities

Frame business and scientific questions into measurable AI product hypotheses, success metrics, and evaluation plans.
Contribute to agile AI Accelerator cycles by testing hypotheses and validating product increments.
Build data science prototypes using Python, SQL, notebooks, and AWS-aligned data services.
Support sandboxed data problem solving in non-production environments.
Evaluate and curate analytical context for AI agents, including instructions, memory, and data tools.
Develop analytical features, embeddings, classifiers, and optimization methods.
Partner with Data Engineers to shape reliable datasets, retrieval corpora, and feature pipelines.
Design and execute evaluations for LLM, RAG, and agentic workflows.
Build evaluation rubrics, golden datasets, and error taxonomies to measure model quality and hallucination risk.
Define KPIs and analytical measurement plans for AI products.
Apply statistical modeling, experimental design, and causal inference to measure product impact.
Create visualizations and narratives to communicate model behavior and opportunities to stakeholders.
Contribute reusable notebooks, analytics templates, and data science patterns.
Participate in code reviews, design discussions, and technical problem-solving.
Coach peers on data science, evaluation design, and evidence-based decision making.

Requirements

Bachelor's or higher degree in Data Science, Statistics, Computer Science, Engineering, Bioinformatics, Computational Biology, Applied Mathematics, or a related field.
5+ years of experience in data science, machine learning, applied AI, analytics, or computational science.
Proficiency in Python, SQL, and R.
Experience applying machine learning, statistics, NLP, information retrieval, or decision science to real-world products.
Experience with LLM applications, RAG, agentic AI, and prompt/evaluation design.
Familiarity with AWS data and AI services such as S3, Athena, RDS/PostgreSQL, OpenSearch, SageMaker, and Bedrock.
Experience with evaluation rubrics, hallucination risk measurement, and causal inference.
Familiarity with vector databases, knowledge graphs, and data quality practices.
Experience communicating quantitative findings to technical and non-technical audiences.
Effective use of coding agents or AI-assisted development tools.

Skills

Python
SQL
R
Pandas
NumPy
scikit-learn
PyTorch
TensorFlow
statsmodels
Machine Learning
Statistics
NLP
Information Retrieval
LLM Applications
RAG
Agentic AI
Prompt Engineering
Evaluation Design
AWS Data and AI Services
Vector Databases
Knowledge Graphs
Causal Inference
Streamlit

Location

Cambridge, MA
Madison, NJ
Princeton, NJ
Seattle, WA

Work Type

Full-time
Site-by-design (Hybrid)

Experience Level

5+ years of experience

Education Level

Bachelor's degree or higher

Salary/Compensations

Cambridge Crossing: $151,280 - $183,319
Madison - Giralda - NJ - US: $137,530 - $166,654
Princeton - NJ - US: $137,530 - $166,654
Seattle - WA: $151,280 - $183,319

Benefits

Medical, pharmacy, dental, and vision care
BMS Well-Being Account and Employee Assistance Programs
401(k) plan
Short- and long-term disability
Life, accident, and supplemental health insurance
Business travel and personal liability protection
Identity theft and legal support
Flexible time off
11 paid national holidays
Paid volunteer days
Summer hours flexibility
Leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
Annual Global Shutdown between Christmas and New Years Day

About the Company

Bristol Myers Squibb is a biopharmaceutical company focused on transforming patients' lives through science.
The company fosters a culture of passion, innovation, urgency, accountability, inclusion, and integrity.

Equal Opportunity

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process and reasonable workplace accommodations.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws.