Lead Data Scientist (mathematical/Operational/ Numerical optimization)

Job Title: Lead Data Scientist (mathematical/Operational/ Numerical optimization) Company: Beckman Coulter Life Sciences Job Category: Data Science Roles & Responsibilities: We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300\+ global colleagues coming from the laboratory. The role will work closely with Supply Chain leaders, business stakeholders, Data Engineers, ML Engineers, and other cross\-functional teams within the Data \& AI Center of Excellence to translate business needs into scalable, data\-driven solutions. In This Role, You Will Have The Opportunity To * Partner with Supply Chain leaders and business stakeholders to identify high\-value opportunities, translate business needs into analytical solutions, and communicate clear recommendations to technical and non\-technical audiences. * Design and implement scalable Operations Research and optimization solutions for inventory, allocation, scheduling, resource planning, and network optimization. * Develop Machine Learning, forecasting, and AI solutions that improve business decision\-making and operational performance. Explore and develop hybrid Generative AI and Operations Research solutions that enable business users to formulate optimization problems, interact with numerical models through natural language, perform what\-if scenario analysis, and understand optimization recommendations. * Lead Data Science and Optimization initiatives from problem formulation and solution design through deployment, monitoring, and continuous improvement. * Collaborate with Data Engineers and ML Engineers to deliver reliable, production\-ready solutions, while providing technical guidance and mentoring junior Data Scientists. Work Location: Bengaluru East, Karnataka, India Availability: Full time

The Essential Requirements Of The Job Include * Bachelor’s degree with 7\+ years of relevant experience, or Master’s degree with 5\+ years of relevant experience, in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, Computer Science, or a related quantitative field. * Strong hands\-on expertise in mathematical optimization, including LP, MIP/MILP, Constraint Programming, and Nonlinear Programming, with experience improving solver performance, runtime, scalability, and memory utilization. * Experience designing heuristics or metaheuristics and solving Supply Chain problems such as inventory optimization, allocation, scheduling, network and resource optimization, cutting stock, and knapsack. * Strong Python and SQL skills, experience with Snowflake or a similar cloud data platform, and hands\-on use of at least two optimization tools such as Gurobi, IBM ILOG CPLEX, Google OR\-Tools, AIMMS, or FICO Xpress. * At least 2 years of Supply Chain Analytics experience, practical knowledge of Machine Learning and forecasting, and strong stakeholder management and communication skills. Key Skills: Data Science Salary: Not disclosed