Staff Data Scientist, Afresh
Performance
$186-212k
More information about location
SaaS for grocery store operations
Job no longer available
SaaS for grocery store operations
101-200 employees
Job no longer available
$186-212k
More information about location
101-200 employees
Company mission
To eliminate food waste and make fresh food accessible to all.
Role
Who you are
- 4+ years of experience as a data scientist. 6+mo experience as a technical lead where you regularly mentored other team members
- Expert abilities in statistical analysis, especially in experimental design. Familiarity with causal inference. Extensive experience with both applied and theoretical statistics
- Expert abilities in SQL. Expert abilities in using Python for data analysis
- Familiarity with tools for Python statistical analysis (e.g., pandas, statsmodels, sklearn, dplyr)
- Excellent data visualization and dashboarding skills, including familiarity with at least one major dashboarding platform (e.g. Tableau, Looker, Mode)
- Excellent written and verbal visual communication skills with the proven ability to quickly deliver high-quality analyses
What the job involves
- You will act as the technical lead for our Data Science team. The Data Science team sits in our larger Machine Learning organization. The Afresh system comprises, among other sources of data, machine learning forecasts, inventory estimates, user-provided data, and clickstream data
- You will work with product managers, go-to-market experts, applied scientists, and other stakeholders to turn this data into metrics and experiments that will guide our company towards more and more food waste reduction
- You will also own a critical part of Afresh’s business: proving the value that we generate for our customers. To do so, you will build on our existing statistical analysis tools to ship rigorous metrics and statistical experiments that demonstrate our impact to our customers and internal teams
- In your first 3 months, you will familiarize yourself with our existing statistical toolkit and make a scoped improvement to it. You will learn about our ongoing product experiments and metric development, and work with our data scientists to spin up an experiment and/or new metric. You will attend calls with our customers and learn about the nature of data in the grocery industry
- By the end of your first 6 months, you will introduce additional metrics and ways of slicing at our data that unlock new insights for our customers. You will have onboarded onto our experimentation platform and helped guide our product team towards the right feature choice
- By the end of your first year, you will make foundational improvements to our causal inference pipelines, making them more scalable and powerful. You will introduce new norms to the team around metric creation and statistical methods
Our take
Outdated inventory systems remain a major issue for grocers, particularly when it comes to fresh food. Many still rely on manual processes or rigid software that struggles to account for constantly changing factors like demand, shelf life and supply fluctuations. The result is over-ordering, wasted food and unnecessary costs, all problems that become even harder to manage at scale.
Afresh is tackling this with an AI-powered platform built specifically for fresh food operations. Its system helps grocers forecast demand, manage inventory and make smarter ordering decisions across categories like produce, meat and bakery. What started as a replenishment tool has expanded into a broader operating system, supporting planning, buying and day-to-day decision-making across store teams.
The company has grown quickly too, now supporting more than 12,000 grocery departments across North American and partnering with major retailers like Albertsons, Meijer and Wakefern. Following a year of strong growth and new product launches, Afresh is expanding its reach across the food supply chain, with ambitions that go beyond the store level. As pressure mounts on grocers to reduce waste and improve margins, Afresh is ready to be a key player in bringing AI-driven decision-making to the entire fresh food ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2022
$115m
SERIES B
Nov 2020
$13m
SERIES A
Total funding: $147.8m
Company benefits
- Comprehensive health plans
- Generous parental leave
- Equity packages
- 401k matching
- Flexible vacation policy
- Professional development program
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Prior to co-founding Afresh in 2016, Matt worked as a Consultant for Bain & Company.
Nathan Fenner
(Co-Founder & CPO)Nathan has a Bachelors, Masters and MBA from Stanford University. Post studying, they became a Lecturer at Stanford in the Mechanical Engineering department before working at Liquid Robotics for 5 years.
Kristina Kemmer
(CTO)Kristina joined Afresh in 2023 as a Senior VP of Engineering, moving into the role of CTO in 2025. Prior to Afresh, she spent 4 years at Zapier as a Director/VP of Engineering and 2 years at InVision as an Engineering, then Senior Engineering Manager.
Adam Litle
(CRO)Prior to joining Afresh in 2025, Adam was the CEO of Sound Agriculture for over 5 years. He also served as the CRO at Granular for nearly 3 years and worked as a VP of Sales at Monetate for 1 year.
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