Lead Data Scientist
Beckman Coulter Life Sciences (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 1d ago
Reach people at Beckman Coulter Life Sciences
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Beckman Coulter Life Sciences you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and deliver advanced analytics and Operations Research solutions focused on Supply Chain optimization, including inventory, allocation, scheduling, and resource planning.
- Lead end-to-end Data Science and Optimization projects from problem formulation through deployment, ensuring scalable, production-ready solutions in collaboration with engineering teams.
- Develop and explore hybrid Generative AI and Operations Research models enabling interactive optimization problem formulation, scenario analysis, and decision support for business users.
Minimum Requirements
- Bachelor’s degree with 7+ years or Master’s degree with 5+ years in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, Computer Science, or related quantitative field.
- Strong expertise in mathematical optimization techniques (LP, MIP/MILP, Constraint Programming, Nonlinear Programming) and experience improving solver performance and scalability.
- Proficient in Python and SQL; experience with cloud data platforms such as Snowflake; hands-on use of at least two optimization tools like Gurobi, IBM ILOG CPLEX, Google OR-Tools, AIMMS, or FICO Xpress.
- Minimum 2 years of Supply Chain Analytics experience and practical knowledge of Machine Learning and forecasting.
Ideal Candidate Profile
- Experienced in solving complex Supply Chain problems through mathematical optimization and advanced analytics within a production or enterprise environment.
- Comfortable leading cross-functional projects interfacing with technical teams and business stakeholders, translating needs into deployable solutions.
- Has familiarity or interest in integrating emerging AI techniques (Generative AI, NLP) with Operations Research methods for innovative decision support tools.