# Staff Applied Scientist (Distribution Center) at Afresh

Afresh is seeking a Staff Applied Scientist to lead research and development efforts on the core AI models powering their grocery replenishment platform. You'll own the technical roadmap for demand forecasting, inventory optimization, and ordering decisions that directly influence millions of dollars in fresh food inventory ordered daily. This role involves tackling complex real-world challenges like product decay, demand uncertainty, and multi-stage supply chains through a combination of machine learning, simulation, and optimization techniques. Your work will drive measurable impact—the company prevented over 200 million pounds of food waste last year.

This position suits experienced practitioners with deep expertise in operations research, stochastic optimization, inventory management, or supply chain systems. You should have an advanced degree in a quantitative field plus substantial industry experience (8+ years with an MS, or 4+ years with a PhD), with proven ability to research, implement, and validate production-grade solutions at scale. Strong communication skills matter here—translating business problems into mathematical models and explaining complex concepts to non-technical teams is essential.

The role is based remotely in Ontario, Canada, with a salary range of $169,000 to $252,000 depending on background. You'll mentor other scientists, set standards for experimental rigor, and push the boundaries of AI capabilities across the Intelligence team. Note that the company does not sponsor visa applications for this position.

Location: Remote - Ontario, Canada

Apply: https://getfoundi.com/apply/staff-applied-scientist-distribution-center-afresh-efedae2a

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