Staff Applied Scientist (Distribution Center)
New
A
AfreshAI, Grocery, Supply Chain
Remote - USFull-TimeStaff
Salary$191,760 - $287,640 (dependent on experience).
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Job Details
- Experience
- 8+ years of industry experience (MS); 4+ years of industry experience (PhD)
- Required Skills
- PythonMachine LearningNumpyPyTorchPandas
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.
- Excellent communication and presentation skills, with the ability to explain complex mathematical ideas and 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).
- Understanding of ML Platform (nice to have).
- Passion for mentorship (nice to have).
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.
- 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.
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