Staff Applied Scientist
Remote regions
USBenefits
Unlimited PTO
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About the Role:
- The Afresh Intelligence team develops AI/ML models for core replenishment technology.
- Models order millions of dollars of fresh inventory daily across the world.
- Challenges include decaying product, uncertain shelf lives, and variable demand.
What You’ll Do:
- Define the modeling roadmap for demand forecasting and inventory optimization.
- Implement solutions to multi-stage and multi-echelon inventory optimization problems.
- Drive fundamental changes from research through production with scalable code.
What Makes You a Great Fit:
- MS or PhD in Operations Research, Computer Science, or related field.
- 4+ years of industry experience for PhD candidates.
- Experience in large-scale decision making under uncertainty.
- Excellent communication skills to explain complex ideas to product teams.
- Ability to deliver high quality software implementations in the Python data stack.
Afresh
Afresh is an AI platform for grocery, empowering partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their enterprise. With over 200 million pounds of food waste prevented last year and a 70% revenue growth in 2025, it has scaled to 6 enterprise-grade solutions covering over 10% of the U.S. grocery market.