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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Lead the design and delivery of advanced optimization, machine learning, and decisioning solutions for high-value retail and supply chain problems, including replenishment, placement, inventory flow, and fulfillment planning.
- Shape the technical roadmap for systems such as replenishment override agents, allocation and placement engines, item exit optimization, fit-to-shelf logic, and demand-splitting workflows.
- Build and productionize scalable models and algorithms that operate across large datasets, complex business constraints, and network-level decisions spanning stores, DCs, and fulfillment centers.
- Partner with product managers, engineers, and business stakeholders to define problem statements, success metrics, experimentation approaches, and production roll-out strategies.
- Translate ambiguous operational challenges into mathematically rigorous and implementable solutions, including optimization formulations, heuristics, simulations, predictive models, and decision-support tools.
- Drive architectural decisions for production-grade science systems using modern cloud and distributed data platforms.
- Mentor senior and junior data scientists, provide technical guidance across projects, and help scale reusable science patterns, frameworks, and best practices across the team.
- Communicate findings, tradeoffs, and business impact clearly to leaders across science, engineering, and operations.
- Identify innovation opportunities that can translate into patents, reusable platforms, and step-change business outcomes.
Requirements
What you’ll need- Masters or PhD with > 10 years in Computer Science, Statistics, Mathematics, Operations Research, Economics, Engineering, or related quantitative field and 8+ years of experience in data science, machine learning, optimization, or related field.
- Experience leading complex technical initiatives from problem framing through production deployment and business adoption.
- Experience working with Python and modern data/science tooling in cloud or distributed computing environments.
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
- 7 years' experience in an analytics or related field.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Professional development
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningoptimizationdata sciencepredictive modelsalgorithmsstatistical analysisheuristicssimulationsdecision-support toolsdata analysis
Soft Skills
leadershipcommunicationmentoringcollaborationproblem-solvingtechnical guidanceinnovationstrategic thinkingadaptabilitycritical thinking
Certifications
Masters degreePhDBachelors degree