Key skills
NumpyPandasPythonRNumPyCommunicationDecision MakingPresentation Skills
About this role
Role Overview
- Set technical direction for core replenishment R&D.
- Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
- Drive fundamental changes to our core system from research through production.
- Lead research and development for new product and business challenges.
- Mentor scientists and engineers, set standards for experimental rigor.
Requirements
- 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.
- 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.
- Excellent communication and presentation skills.
- Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc).
Tech Stack
- Numpy
- Pandas
- Python
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.
- Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
- Home office stipend and "Coworking Wallets" for flexible workspace access.
- Annual professional development budget to master new skills and grow your career at Afresh.
- Monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications.