Lead Data Scientist
Beckman Coulter Diagnostics (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted 5h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of advanced analytics and optimization solutions (inventory, allocation, scheduling, resource planning) for Supply Chain and Operations.
- Develop and implement Machine Learning, forecasting, and hybrid Generative AI-Operations Research models to improve decision-making and operational performance.
- Collaborate with business stakeholders and technical teams to translate needs into scalable solutions, lead deployment, and mentor junior Data Scientists.
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 hands-on expertise in mathematical optimization methods (LP, MIP/MILP, Constraint Programming, Nonlinear Programming) and related solver performance improvements.
- Proficiency in Python, SQL, experience with Snowflake or similar cloud data platform, and using at least two optimization tools (e.g., Gurobi, CPLEX, OR-Tools).
- Minimum 2 years of Supply Chain Analytics experience; strong stakeholder management and communication skills.
Ideal Candidate Profile
- Experienced in complex Supply Chain optimization problems such as inventory, allocation, scheduling, network and resource optimization.
- Skilled in integrating Operations Research with Machine Learning and emerging AI techniques like Generative AI and Natural Language Processing for hybrid solutions.
- Strategic collaborator comfortable working with diverse cross-functional teams including Data Engineers, ML Engineers, and business stakeholders to drive measurable operational impact.