Senior Operations Research Engineer, Hungryroot

• Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP)
• Knowledge of Machine Learning algorithms and systems, with at least one application built and deployed to production
• Strong programming skills in Python
• Proficiency in data manipulation, analysis, and visualization
• Excellent problem-solving skills and the ability to translate business problems into mathematical models
• Demonstrated ability to work independently and collaboratively in a fast-paced environment
• Be able to discuss the pros and cons of various solutions to a problem
• Ability to explain complex technical concepts to non-technical stakeholders

Desirable

• Hungryroot is looking for a Senior Operations Research Engineer to be a part of our growing Data Science team
• You’ll be responsible for working directly on our core Machine Learning/Operations Research algorithms for: grocery personalization, recipe selection, supply chain forecasting, clustering and more
• As a member of the team, you will be building models collaboratively with others, and implement them in experimentation and production settings
• You will be analyzing results of experiments, and will deep dive into the results to understand their impact, as well as plan next iterations
• This role will join Hungryroot’s Data Science team and you’ll report directly to our VP of Data Science
• In this critical role you will work closely with our data scientists and operation research experts to tackle the core challenges at the company that will be crucial to the success of Hungryroot
• Building out Operations Research modeling for our box filling algorithms, inventory forecasting, supply chain optimization
• Machine learning modeling for our core grocery personalization algorithms
• Data analysis, discussion and interpretation of experiment results
• Data analysis and interpretation of production data to inform future experiments and decisions