Beckman Coulter Life Sciences seeks a Senior Data Scientist to develop advanced analytics, operations research, and machine learning solutions for supply chain optimization. The role involves designing scalable optimization models, collaborating with cross-functional teams, and translating business problems into data-driven recommendations.

Responsibilities

Partner with supply chain leaders to identify opportunities and translate business needs into analytical solutions
Design and implement scalable operations research and optimization solutions for inventory, allocation, and resource planning
Develop machine learning, forecasting, and AI solutions to improve business decision-making and operational performance
Lead data science initiatives from problem formulation through deployment, monitoring, and continuous improvement
Collaborate with data engineers and ML engineers; provide technical guidance and mentoring to junior data scientists

Requirements

Bachelor's degree with 7+ years experience, or Master's degree with 5+ years, in Operations Research, Data Science, Applied Mathematics, or related quantitative field
Strong expertise in mathematical optimization: LP, MIP/MILP, Constraint Programming, Nonlinear Programming
Experience solving supply chain problems including inventory optimization, allocation, scheduling, network optimization
Proficient in Python and SQL with hands-on experience using Gurobi, CPLEX, OR-Tools, AIMMS, or Xpress
Minimum 2 years supply chain analytics experience and practical machine learning and forecasting knowledge
Strong stakeholder management and communication skills

Lead Data Scientist

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