Senior Applied Scientist - Remote

Overview

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

In Short

• Work on improving the accuracy of probabilistic inventory models.
• Acquire understanding of the current inventory system and computational approaches.
• Propose and validate improvements to inventory estimation and measurement.
• Launch changes to the core inventory system within the first year.
• Ensure the system is fault-tolerant and rigorously validated.

Requirements

• 4+ years of experience in building applied systems.
• Excellent communication and presentation skills.
• 4+ years of experience with Python libraries like Pytorch, Sklearn, and Ray.
• Fluent in data analysis using SQL and Pandas.
• Excellent data visualization skills.

Benefits

• Opportunity to make a substantial impact on reducing food waste.
• Work with cutting-edge technology in AI.
• Be part of a mission-driven company focused on social impact.
• Flexible remote work options.
• Inclusive and diverse work environment.