{"id":3672317,"url":"https://alion.io/job/bristol-myers-squibb-data-scientist-iii","title":"Data Scientist III","company":{"id":7994,"name":"Bristol Myers Squibb","domain":"bms.com","url":"https://alion.io/company/bms","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":65,"ghost_share":0.077,"stale_share":0.231,"repost_share":0.138,"time_to_fill_p50_days":24,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-11-03T09:40:37Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T04:20:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nRoles and Responsibilities\nCollaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.\nWork with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.\nBuild predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.\nDevelop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.\nDevelop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.\nImplement evaluation frameworks for AI systems, response quality assessment, hallucination mitigation, and benchmark-driven validation.\nPartner with data engineering and platform teams to ensure scalable pipelines, high-quality data availability, and production-ready AI systems.\nCommunicate analytical findings and AI-driven insights clearly to both technical and non-technical stakeholders through reports, visualizations, and presentations.\nMentor junior data scientists and contribute to knowledge sharing and adoption of modern AI development practices.\nSkills and Competencies\nStrong expertise in machine learning, and predictive modeling techniques.\nStrong programming proficiency in Python for data science and AI system development\nExperience working with modern data platforms such as Databricks (Spark, MLflow, Delta Lake).\nExperience building LLM-based applications, including Retrieval-Augmented Generation (RAG), AI copilots, and knowledge-grounded AI systems.\nExperience implementing embedding pipelines and vector database architectures (e.g., FAISS, Pinecone, Weaviate, OpenSearch Vector, pgvector).\nFamiliarity with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar orchestration frameworks.\nExperience designing multi-step AI workflows, including tool calling, context management, and agent-to-agent interaction.\nUnderstanding of LLMOps practices, including model deployment, monitoring, prompt engineering, evaluation workflows, and experiment tracking.\nExperience developing and deploying AI or ML services using FastAPI or similar frameworks for scalable APIs.\nExperience with semantic data modelling, ontologies, and contextual data frameworks to enable AI reasoning across complex datasets.\nProficiency in working with large datasets using SQL and distributed data processing frameworks.\nExcellent communication and presentation skills to convey complex technical concepts to both technical and non-technical audiences.\nExperience\nBtech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.\n5+ years of experience in data science, machine learning, or applied AI roles.\nProven experience building and deploying machine learning or LLM-powered systems in production environments.\nExperience working with large-scale structured and unstructured datasets.\nExperience developing AI-powered decision support tools, or knowledge-based systems.\nExperience applying data science or AI techniques in healthcare, life sciences, or biopharma domains is highly desirable.\nFamiliarity with clinical data, healthcare datasets, or real-world evidence sources is a plus.\nUnderstanding of the pharma ecosystem and healthcare data sources is beneficial.\nWe 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.\nHow We Work\nWhere 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.\nSupporting People with Disabilities\nBMS 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 careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.\nCandidate Rights\nBMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.\nFor roles based in Los Angeles County only: 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/\nFor roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.\nData Protection\nWe 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.\nAny data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.\nIf this posting is missing required information required by local law or incorrect, contact BMS at  with the Job Title and Requisition number. Do not send application-related inquiries to this email. 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