Data Scientist II

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 II| EG 90 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...