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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist III - **Company:** Bristol Myers Squibb - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Big Data, Clinical Data Repository, Encodings, Computer Programming, Databases, Information Engineering, Data Infrastructure, Decision Support Systems, Distributed Computing Environment, Knowledge-Based Systems, Machine Learning, Azure Machine Learning, SQL Databases, Unstructured Data, Pinecone, LangChain, System Availability, Large Language Models, Prompt Engineering, Apache Spark, Hallucination Detection, Generative AI, Agentic-AI, Fastapi, Pgvector, Data Lakes, Kubernetes, Information Technology, CrewAI, Data Analytics, Weaviate, Integration Frameworks, Machine Learning Operations, FAISS, Restful APIs, Automation Anywhere, OpenSearch, AI Co-pilot, Databricks - **Published:** November 7, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/px8hvneqg5 ## About the Role * 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., * 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. ## Description * 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., 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@bms.com. 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.