Staff Applied Scientist

New

Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI. Salary Range in Canada.: $169,000 - $252,000Full-TimeStaff

Salary169,000 - 252,000 CAD per year

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Job Details

Experience: For candidates with an MS, 8+ years of industry experience; for candidates with a PhD, 4+ years of industry experience.
Required Skills: PythonMachine LearningNumpyPyTorchPandas

Requirements

MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or quantitative equivalent.
8+ years of industry experience for MS holders or 4+ years for PhD holders.
Experience researching and building systems that support large-scale decision making under uncertainty.
Prior experience in inventory optimization, supply chain management, or network optimization.
Experience with forecasting, game theory, decision analysis, or stochastic optimization.
Ability to deliver high quality software implementations in the Python data stack (numpy, torch, pandas).
Excellent communication and presentation skills.
Ability to translate business requirements into constrained optimization problems.

Responsibilities

Set technical direction for core replenishment R&D and define the modeling roadmap.
Model complex problems including inventory decay, promotions, price elasticity, and inventory uncertainty.
Implement solutions to multi-stage and multi-echelon inventory optimization problems.
Drive fundamental changes to core systems from research through production.
Write rigorously tested and scalable code.
Lead research and development for new product and business challenges.
Mentor scientists and engineers and set standards for experimental rigor.
Push the boundaries of AI capabilities in products and scientist workflows.

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