Afresh · 1 week ago
Staff Applied Scientist (Distribution Center)
United States
Full-time
Remote
Lead/Staff
$192K/yr - $288K/yr
4+ years expAfresh is an AI platform for grocery that aims to reduce food waste through innovative technology. The Staff Applied Scientist will lead the R&D efforts in developing AI/ML models for inventory control, tackling complex challenges associated with fresh food ordering and supply chain management.
AgricultureArtificial Intelligence (AI)Food and BeverageLogisticsSoftwareGroceryMachine LearningSupply Chain Management
No H1B
Responsibilities
Set technical direction for core replenishment R&D — define the modeling roadmap across demand forecasting, inventory optimization, and decision-making policy, and align it with product and business strategy
Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems
Drive fundamental changes to our core system from research through production, writing rigorously tested and scalable code — we are not an analytics team
Lead research and development for new product and business challenges
Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results
Push the boundaries of AI capabilities in both products and scientist workflows
Qualification
Required
MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field, or equivalent practical experience
For candidates with an MS, 8+ years of industry experience; for candidates with a PhD, 4+ years of industry experience
Experience researching and building systems that support large-scale decision making under uncertainty
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). Prior experience with Python is not required
Preferred
Prior experience in areas such as inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, approximate dynamic programming, or related fields is a plus
Nice to Have skills: understanding of ML Platform and a passion for mentorship
Benefits
Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh
Dedicated mental health support and counseling services
401(k) program with a generous company match
Home office stipend
"Coworking Wallets" for flexible workspace access
Annual professional development budget to master new skills and grow their career at Afresh
Monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive
Flexible paid time off to take the time you need to recharge
Flexible & Modern Workspace: Whether you work from home or a local office, we support your setup
Company
Afresh
Afresh is an AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$181.79MKey Investors
HighSage Ventures,Just ClimateSpark Capital,Walter RobbFood Retail Ventures
2026-04-21Series Unknown· $34M
2022-08-04Series B· $115M
2020-11-19Series A· $13M
Leadership Team
Erica Eaton
SVP of Strategy & Operations
Recent News
Portfolia
2026-07-28
2026-07-10
Company data provided by crunchbase