Data Scientist III, BIA GPS India Operations (Gen AI/MLOps)

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation. Summary: The Data Scientist III will play a crucial role in supporting operational analytics across Global Product & Supply (GPS) to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The role provides hands-on technical expertise to develop, deploy, and maintain descriptive and AI/ML pipelines, solutions, and products in furtherance of the overall GPS digital strategy. This individual will also be responsible for providing ongoing technical support with business operations. Roles & Responsibilities: Develop, implement, and deploy predictive and descriptive models to solve complex business problems related to GPS analytics Hands-on design, deployment, and maintenance of advanced, automated data pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Champion MLOps practices for the entire machine learning lifecycle, from model development and training to deployment, monitoring, and governance. Responsible for troubleshooting breaks in pipelines and models. Support with migration and transition activities related to BIA GPS data and analytics and solve complex architecture problems involving the right teams to discuss solution. Collaborate with functional team members for testing upgrades and implementations. Align BIA GPS tech stack with enterprise tech stack and ensure alignment with IT compliance standards. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies Education degree in an analytical, engineering, operations research or a scientific discipline. 5+ years' experience with developing predictive & prescriptive machine learning / artificial intelligence models. 1+ years of experience with MLOps principles and tools (MLflow, Kubeflow, or similar MLOps platforms). Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines is a plus Expert level in Python/R, SQL, dbt. Expert with Github. Experience with cloud-based environments (AWS, Azure, Domino etc.). Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena). Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Experience in the biopharma industry a plus.

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.