Senior Applied Scientist (Store Solutions)

Join Afresh as a Senior Applied Scientist, where you will lead R&D efforts to tackle the critical issue of perishable inventory control. You will apply your expertise in machine learning, forecasting, operations research, and stochastic optimization to improve our core replenishment system. Your work will have a significant impact on reducing food waste and providing fresher, healthier produce to millions of people worldwide.

• Lead R&D work at Afresh, applying knowledge of machine learning, forecasting, operations research, and stochastic optimization to improve perishable inventory control.
• Research, implement, and rigorously validate improvements to the core replenishment system, including modeling consumer demand, item-level perishability, and complex multi-echelon supply chains.
• Set technical direction for core replenishment R&D, define the modeling roadmap across demand forecasting, inventory optimization, and decision-making policy, and align it with product and business strategy.
• MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field, or equivalent practical experience
• Nice to Have skills: understanding of ML Platform and a passion for mentorship
• Experience researching and building systems that support large-scale decision making under uncertainty
• Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Prior experience with Python is not required
• Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems
• Prior experience or academic knowledge in areas such as inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, approximate dynamic programming, or related fields is a plus
• For candidates with an MS, 4+ years of industry experience; for candidates with a PhD, some industry experience preferred