Senior Applied Scientist

Summary

Join Afresh, a company on a mission to eliminate food waste and improve fresh food accessibility. We use AI-powered solutions to optimize ordering and operations for grocery stores, impacting billions of dollars in produce orders and preventing millions of pounds of food waste. As an Applied Scientist focused on inventory, you will leverage machine learning and operations research to improve our inventory estimation system for perishable goods. You will work on applied, open-ended problems, conduct thorough error analysis, and implement and validate improvements to our core inventory system. Your work will directly impact food waste reduction and provide fresher produce to millions. This role offers the opportunity to contribute to a company with significant social impact and cutting-edge technology.

Requirements

• 4+ years of industrial or academic experience building mission-critical applied systems
• Excellent communication and presentation skills
• 4+ years of experience with Python libraries like Pytorch, Sklearn and Ray
• Fluent in programmatic data analysis using SQL and Pandas
• Excellent data visualization skills

Responsibilities

• Research, implement, and rigorously validate improvements to our core inventory system
• Model inventory counts provided by our users, incoming shipments, sales, and outflow due to spoilage
• Improve the accuracy and calibration of our probabilistic inventory models that power our store-level ordering products
• Drive research development for new product and business challenges
• Acquire a comprehensive understanding of our current inventory system and modern computational approaches to large-scale simulation
• Gain proficiency in our data manipulation, transformation, and estimation
• Test an experimental improvement to our inventory system
• Propose, implement, and rigorously validate an improvement to either inventory estimation, inventory count targeting, or food waste measurement
• Launch fundamental changes to our core inventory system
• Lead research into extensions like anytime inventory estimation

Preferred Qualifications

Ability to explain complex mathematical ideas to product teams in plain English

Benefits

Remote work opportunities (for eligible states)