# Senior Applied Scientist (Store Solutions) at Afresh

Afresh is seeking a Senior Applied Scientist to advance the machine learning and optimization systems powering its grocery replenishment platform. You'll research and implement improvements to core models that handle perishable inventory decisions across major retailers like Albertsons and Meijer, tackling challenges like product decay, demand variability, and supply chain complexity. Your work will directly influence millions of inventory decisions daily and contribute to preventing food waste at scale.

This role suits researchers and engineers with strong foundations in machine learning, forecasting, operations research, or stochastic optimization. You'll need an MS or PhD in a quantitative field (Operations Research, Computer Science, Industrial Engineering, etc.) plus relevant industry experience—4+ years for Master's holders, some experience preferred for PhD holders. You should excel at building production-grade systems, mentoring junior scientists, and translating business problems into mathematical models while communicating complex ideas clearly to non-technical stakeholders.

The position is fully remote within the United States and offers a salary of $173,000–$234,000 plus early-stage equity and benefits. U.S. sponsorship is not available. Strong candidates will have background in inventory optimization, supply chain management, network optimization, or related areas, with demonstrated ability to independently deliver high-quality Python implementations.

Location: Remote - United States

Apply: https://getfoundi.com/apply/senior-applied-scientist-store-solutions-afresh-5054dc69

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