# Staff Applied Scientist (Distribution Center) at Afresh

Afresh is seeking a Staff Applied Scientist to lead research and development efforts on the algorithms powering our fresh food inventory management platform. You'll own the technical roadmap for demand forecasting, inventory optimization, and replenishment decisions—work that directly influences millions of ordering decisions daily across major grocery chains like Albertsons and Meijer. The role combines machine learning, operations research, and stochastic optimization to solve the multifaceted challenge of perishable inventory control, from modeling product decay and consumer demand to managing complex supply chain networks across distribution centers.

This position suits experienced scientists and engineers with advanced quantitative training (MS/PhD in operations research, computer science, industrial engineering, or equivalent). You'll need 8+ years of industry experience with an MS degree, or 4+ years with a PhD, plus demonstrated expertise building large-scale decision-making systems under uncertainty. Prior work in inventory optimization, supply chain, forecasting, or stochastic optimization is valuable. Beyond technical depth, you must excel at translating business problems into mathematical frameworks and communicating complex ideas to non-technical partners.

The role demands not just research but production-quality implementation using Python and the modern data stack. You'll mentor team members, establish experimental standards, and drive solutions from conception through deployment. Based remotely across the United States, this is a full-time position with a salary range of $191,760–$287,640 plus early-stage equity and benefits. The company does not sponsor visa candidates.

Location: Remote - United States

Apply: https://getfoundi.com/apply/staff-applied-scientist-distribution-center-afresh-de696603

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