Data Scientist II

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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.

• 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/ Claude SDK

• 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.

• 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.

• 3+ 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.

• We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

• How We Work

• Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

• 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. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

• Candidate Rights

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

• 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 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 this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

• R1607910 : Data Scientist II