Operations Research Engineer

September 7

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Description

β€’ Building out Operations Research modeling for our box filling algorithms, inventory forecasting, supply chain optimization β€’ Machine learning modeling for our core grocery personalization algorithms β€’ Data analysis, discussion and interpretation of experiment results β€’ Data analysis and interpretation of production data to inform future experiments and decisions

Requirements

β€’ Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP) Gurobi is our primary platform for linear optimization. β€’ Knowledge of Machine Learning algorithms and systems, with at least one application built and deployed to production β€’ Strong programming skills in Python. β€’ Proficiency in data manipulation, analysis, and visualization. β€’ Excellent problem-solving skills and the ability to translate business problems into mathematical models. β€’ Demonstrated ability to work independently and collaboratively in a fast-paced environment. β€’ Be able to discuss the pros and cons of various solutions to a problem. β€’ Ability to explain complex technical concepts to non-technical stakeholders. β€’ Nice to haves: Machine learning frameworks (e.g., scikit-learn, PyTorch) β€’ Nice to haves: Masters or PhD in Operations Research

Benefits

β€’ Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide! β€’ Equity β€’ Unlimited vacation policy β€’ Universal paid parental leave β€’ Monthly Hungryroot credit for delicious, healthy groceries β€’ Comprehensive health, vision, dental, and life insurance β€’ Wellbeing benefits including One Medical, Spring Health, LiveHealth, Rightway care concierge, and more β€’ 401k β€’ A work from home stipend to support your initial home-office setup

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