Senior Applied Scientist, Afresh Technologies
$180-207k
For Canadian applicants: $158k - $180k
More information about location
SaaS for grocery store operations
Open for applications
SaaS for grocery store operations
101-200 employees
Open for applications
$180-207k
For Canadian applicants: $158k - $180k
More information about location
101-200 employees
Company mission
To eliminate food waste and make fresh food accessible to all.
Role
Who you are
- A bachelors and 4+ years of industry experience, a masters with 2+ year of industry experience, or a PhD in a related field where you worked on systems that deal with large-scale decision making under uncertainty. Some possible prior research fields are machine learning, inventory optimization, climate modeling, genetics, supply chain management, computational biology, network optimization, physics, forecasting, mathematics, game theory, decision analysis, transportation engineering, environmental science, systems engineering, control engineering. or stochastic and approximate dynamic programming
- Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems
- Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc)
What the job involves
- As a Senior Applied Scientist at Afresh, you will take your existing knowledge of forecasting, simulation, and stochastic optimization and apply it to the challenging and important problem of perishable inventory control
- You will research, implement, and rigorously validate improvements to our core replenishment system
- This will include modeling consumer demand, item-level perishability, and complex multi-echelon supply chains
- We do not require an explicit background in operations research for this position and welcome applicants from fields with similar problems
- You will work on improving the core models of our system: demand forecasting, inventory optimization, and ordering policy. You will also assist with research development for new product and business challenges. You will model the complex problems of inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems
- In your first 3 months, you will acquire an encyclopedic knowledge of perishable inventory control and Afresh's core decision making problem. You will gain proficiency in our data manipulation, transformation, and simulation tools, and you'll test an experimental improvement to our demand forecasting, ordering, or simulation models
- By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our core modeling system
- By the end of your first year, you will have led the implementation of fundamental changes to our core system and led research into new product areas (warehouse level replenishment, production planning)
- We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof
Our take
Antiquated inventory management systems are detrimental to grocers' money and time. Generalized and paper-based systems result in the over-purchase of stock, and this results in waste of fresh food and financial budgets.
Afresh has created an operating system designed specifically to manage inventory and sales of fresh food. The system is powered by AI to help provide forecasting and analysis of inventories, helping grocers stock more economically and thus waste less fresh food.
The company has grown rapidly in recent years, and has partnered with thousands of stores in 40 states across the US. Clients include Albertsons, WinCo Foods, Heinen's, Save Mart, Bashas and Cub Foods.
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
- Monthly grocery stipend
- Professional development program
- Monthly physical / mental health stipend
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Worked as a consultant for Bain before going on to pursue their passion for food systems. They also previously founded Statfoods.
Volodymyr Kuleshov
(Co-Founder & Advisor)Has a PhD in computer science from Stanford. Alongside Afresh, they are an Assistant Professor in the technology department at Cornell.
Nathan Fenner
(Co-Founder)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.
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