Food Waste Reduction Data Scientist
About the Position
Afreshβs AI-driven platform has already reduced millions of pounds of food waste. We need data scientists to build the next generation of demand forecasting models.
Responsibilities
- Develop machine learning models for fresh food demand forecasting
- Analyze supply chain data to identify waste reduction opportunities
- Build optimization algorithms for inventory management
- Collaborate with grocery retailers to validate model performance
Requirements
- 5+ years in data science or ML engineering - Experience with time-series forecasting and optimization - Proficiency in Python, SQL, and ML frameworks - Background in supply chain or retail analytics preferred
What They Offer
- Competitive equity package - $500/month wellness stipend - Catered lunches 3x per week - Parental leave (16 weeks)