Data Scientist III

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t 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. You’ll 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: careers.bms.com/working-with-us.

Data Scientist III | EG 100

Roles and Responsibilities

• Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.
• Work with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.
• Build predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.
• Develop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.
• Implement evaluation frameworks for AI systems, response quality assessment, hallucination mitigation, and benchmark-driven validation.
• Partner with data engineering and platform teams to ensure scalable pipelines, high-quality data availability, and production-ready AI systems.
• Communicate analytical findings and AI-driven insights clearly to both technical and non-technical stakeholders through reports, visualizations, and presentations.
• Mentor junior data scientists and contribute to knowledge sharing and adoption of modern AI development practices.

Skills and Competencies

• Strong expertise in machine learning, and predictive modeling techniques.
• Strong programming proficiency in Python for data science and AI system development
• Experience working with modern data platforms such as Databricks (Spark, MLflow, Delta Lake).
• Experience building LLM-based applications, including Retrieval-Augmented Generation (RAG), AI copilots, and knowledge-grounded AI systems.
• Experience implementing embedding pipelines and vector database architectures (e.g., FAISS, Pinecone, Weaviate, OpenSearch Vector, pgvector).
• Familiarity with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar orchestration frameworks.
• Experience designing multi-step AI workflows, including tool calling, context management, and agent-to-agent interaction.
• Understanding of LLMOps practices, including model deployment, monitoring, prompt engineering, evaluation workflows, and experiment tracking.
• Experience developing and deploying AI or ML services using FastAPI or similar frameworks for scalable APIs.
• Experience with semantic data modelling, ontologies, and contextual data frameworks to enable AI reasoning across complex datasets.
• Proficiency in working with large datasets using SQL and distributed data processing frameworks.
• Excellent communication and presentation skills to convey complex technical concepts to both technical and non-technical audiences.

Experience

• Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
• 5+ years of experience in data science, machine learning, or applied AI roles.
• Proven experience building and deploying machine learning or LLM-powered systems in production environments.
• Experience working with large-scale structured and unstructured datasets.
• Experience developing AI-powered decision support tools, or knowledge-based systems.
• Experience applying data science or AI techniques in healthcare, life sciences, or biopharma domains is highly desirable.
• Familiarity with clinical data, healthcare datasets, or real-world evidence sources is a plus.
• Understanding of the pharma ecosystem and healthcare data sources is beneficial.

If you come across a role that intrigues you but doesn’t 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.

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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility 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: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1601437 : Data Scientist III