Lead Data Scientist- R&D and Innovation Center
Core
Lead data science initiatives and drive innovation for product and retail optimization teams by solving complex numerical optimization problems.
Role type
Senior IC data science lead (optimization)
Builds
Asset, product, and placement optimization solutions (e.g., planogram, assortment, allocation optimization)
Domain
Retail analytics and numerical optimization
Deliverable
production ML models
Required skills
numerical optimization (MIP, LP), Python, solver constraint languages (Gurobi, Pyomo), problem formulation, team leadership
Preferred skills
retail analytics, recommender systems, machine learning techniques, global cross-functional environment experience
Technologies
Gurobi, Pyomo, CPLEX, Python
Responsibilities
Lead data science team workstreams and ensure alignment with business objectives; Direct optimization-focused teams for solution design and delivery; Collaborate with stakeholders to translate business challenges into mathematical optimization problems; Develop complex optimization models using solver constraint languages; Mentor junior data scientists
Seniority
Senior, hands-on IC with leadership responsibilities
