Data Scientist III Full-time

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.

Roles And Responsibilities

• Operate with a high degree of independence and accountability, setting priorities, making critical decisions, and delivering outcomes with minimal supervision
• Provide strategic and technical analytical solutions for the identification, development, and deployment of AI, LLM, and agentic automation solutions across GPS BI&T, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring)
• Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers
• Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards
• Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner
• Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently
• Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis
• Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization
• Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation
• Continuously monitoring emerging AI technologies and best practices, recommending new approaches to drive continuous improvement and proposing a pragmatic roadmap for scaling Data Science & AI functions
• Provide training, guidance, and mentorship to junior analysts and team members when required
• Work hours that provide sufficient overlap with standard east coast US working hours

Skills And Competencies

• Strong analytical thinking and problem-solving skills with the ability to analyse complex data sets and draw meaningful conclusions
• Agile problem-solving ability and desire to learn new things and continuously improve
• Proficiency in statistical analysis techniques and methodologies
• Strong project management skills and the ability to work independently or as part of a team
• Strong supply chain knowledge along with actively upskilling on emerging digital technologies and analytics techniques, adopting tools and machine learning stack
• Solid understanding of digital analytics tools and platforms and version control
• Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner
• Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations

Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related scientific discipline field
• Proven experience (typically 6-10 years) in a data and analytics role, including direct development experience. In-case of PhD candidates, 5+ years of relevant experience is considered
• Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau)
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace), as well as LLM and agentic AI solutions (prompt engineering, RAG, LangChain, or similar) plus modern GenAI/MLOps tooling (e.g., AWS or GCP, MLflow, feature stores, vector databases, model evaluation/monitoring)
• Demonstrable Experience in development of integration of generative AI or large-scale automation tools—preferably in life sciences, biotech, or healthcare
• Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus
• Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus
• Experience in the biopharma industry a plus

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.