Senior Data Scientist

Working with Us
Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here uniquely interesting work happens every day in every department. From optimizing a production line to the latest breakthroughs in cell therapy this is work that transforms the lives of patients and the careers of those who do it. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.

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. Read more: a Senior Data Scientist within Bristol Myers Squibbs AI Venture Studio delivery team you will be a hands-on senior individual contributor who helps convert ambiguous scientific and business opportunities into measurable AI product hypotheses experiments and working solutions. You will partner with AI Engineers Data Engineers App/Cloud Engineers Frontend Engineers product owners and domain experts to build and evaluate AI systems across R&D Commercialization Manufacturing and Enabling Functions.

The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets build analytical features prototype models test agent and retrieval performance measure product impact support sandboxed data problem solving and explain model behavior in ways stakeholders can trust. You will help define the good analytical context agents need to perform reliable work including query history column values explicit instructions memory data tools warehouse context and curated source meaning.

BMS is an AWS-first engineering environment for these products and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch Amazon S3 Vectors Amazon Neptune PostgreSQL/RDS LangGraph LangSmith and a variety of approved frontier LLM models and APIs. This is a role for someone excited to work hands-on with the latest AI tools and frontier technologies pushing the limits of what technology can do to help BMS discover develop and deliver innovative medicines.

Key Responsibilities:

• Frame ambiguous business and scientific questions into measurable AI product hypotheses success metrics evaluation plans and rapid experiments.

• Contribute to six-sprint 12-week AI Accelerator agile cycles by testing hypotheses validating AI product increments and adapting analyses during two-week sprints.

• Build data science prototypes using Python SQL notebooks APIs and AWS-aligned data services.

• Support sandboxed data problem solving in non-production environments enabling agents and analysts to branch transform test and audit code-plus-data experiments before promotion.

• Evaluate and curate the analytical context agents and analysts rely on including explicit instructions memory data tools and curated meaning from source materials and recommend improvements based on measured impact on agent quality. Develop analytical features embeddings classifiers ranking/scoring methods recommendation logic simulation approaches or optimization methods as needed for product outcomes.

• Partner with Data Engineers to shape reliable datasets retrieval corpora metadata and feature pipelines using S3 Athena PostgreSQL/RDS vector databases and knowledge graphs.

• Design and execute evaluations for LLM RAG and agentic workflows with emphasis on context quality knowledge curation semantic evolution and model quality.

• Build evaluation rubrics golden datasets structured output validation error taxonomies hallucination risk measurement and SME review loops.

• Use tools such as LangGraph LangSmith PydanticAI or similar frameworks to test agent behavior retrieval quality reasoning traces and workflow reliability.

• Evaluate whether curated enterprise context improves agent quality reliability traceability and decision usefulness compared with raw document retrieval.

• Assess model and agent outputs for quality uncertainty calibration bias hallucination risk traceability and fitness for intended use.

• Explore approved proprietary and open model options through enterprise channels and recommend model/task pairings based on evidence risk cost and performance.

• Define KPIs and analytical measurement plans for AI products including adoption user behavior workflow efficiency scientific utility and business value.

• Use bi-weekly demos sprint reviews stakeholder feedback and performance results to measure MVP progress and assess readiness for scaling or production transition.

• Apply statistical modeling experimental design causal inference or quasi-experimental methods where appropriate to separate signal from noise.

• Create clear analyses visualizations and narratives that help product teams and stakeholders understand model behavior limitations and opportunities.

• Partner with responsible AI security quality and domain experts to ensure evaluations and analytics respect data privacy scientific integrity and enterprise governance.

• Contribute reusable notebooks context-quality evaluation harnesses analytics templates prompt/evaluation assets and data science patterns that can be adopted across pods.

• Participate in code reviews analysis reviews design discussions and technical problem-solving with engineering and product teams.

• Use coding agents and AI-assisted development tools effectively while validating outputs documenting assumptions and maintaining scientific rigor.

• Continuously refine analytical priorities and backlogs as insights emerge incorporating stakeholder input performance results and lessons learned throughout MVP development.

• Coach peers on practical data science evaluation design measurement strategy and evidence-based decision making in fast-moving AI delivery environments.

Qualifications & Experience:

• Bachelors or higher degree in Data Science Statistics Computer Science Engineering Bioinformatics Computational Biology Applied Mathematics or a related scientific field.

• 5 years of experience in data science machine learning applied AI analytics computational science or related technology roles with increasing responsibility.

• Proficiency in Python SQL R and/or common data science libraries such as pandas NumPy scikit-learn PyTorch TensorFlow statsmodels or similar tools and packages.

• Experience applying machine learning statistics NLP information retrieval experimentation or decision science to real-world products or scientific/business workflows.

• Experience with LLM applications RAG agentic AI prompt/evaluation design structured outputs context-quality evaluation knowledge curation and model quality assessment.

• Familiarity with AWS data and AI services such as S3 Athena RDS/PostgreSQL OpenSearch SageMaker Bedrock or equivalent cloud tools.

• Experience with evaluation rubrics hallucination risk measurement causal inference simulation optimization recommendation methods and reusable evaluation harnesses.

• Familiarity with vector databases knowledge graphs embeddings metadata strategy and data quality practices.

• Familiarity with lightweight web prototyping tools such as Streamlit for sharing analyses and exploratory AI demos.

• Experience communicating quantitative findings assumptions limitations and recommendations to technical and non-technical audiences.

• Effective use of coding agents or AI-assisted development tools such as Claude Code Codex Gemini CLI GitHub Copilot or similar tools.

• Excitement for experimenting with the latest AI tools and technologies while applying scientific rigor to help discover develop and deliver innovative medicines.

• Curious and inquisitive mindset with comfort working in agile pods learning new domains quickly and adapting analysis plans as evidence emerges.

#AICP

If you come across a role that intrigues you but doesnt perfectly line up with your resume we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job such as required skills where the job is performed the employees work schedule job-related knowledge and experience. Final individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits please visit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical pharmacy dental and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account BMS Living Life Better and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 401(k) plan short- and long-term disability life insurance accident insurance supplemental health insurance business travel protection personal liability protection identity theft benefit legal support and survivor support.

Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited with manager approval 11 paid national holidays (not applicable to employees in Phoenix AZ Puerto Rico or Rayzebio employees)

• Phoenix AZ Puerto Rico and Rayzebio Exempt Non-Exempt Hourly Employees: 160 hours annual paid vacation for new hires with manager approval 11 national holidays and 3 optional holidays

Based on eligibility* additional time off for employees may include unlimited paid sick time up to 2 paid volunteer days per year summer hours flexibility leaves of absence for medical personal parental caregiver bereavement and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours depending on the nature of their work and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work Life-changing Careers
With a single vision as inspiring as Transforming patients lives through science every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture promoting global participation in clinical trials while our shared values of passion innovation urgency accountability inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential site-by-design field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles onsite presence is considered an essential job function and is critical to collaboration innovation productivity and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application or in any part of the recruitment process direct your inquiries to . Visit to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position please visit this page for important additional information: Protection

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