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Operations Research Engineer

Remote

About Us

Hungryroot is your partner in healthy living. We get to know your lifestyle, budget, health objectives, and preferences, and we recommend and deliver nutritious groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time at the store and in the kitchen, and live a healthy (and delicious) life. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable.

We are a distributed team built on top talent from over 28 states across the U.S. While we have a headquarters in New York City, we support employees working from wherever they are based. We believe in fostering team connection and collaboration across all of our employees' locations. Expect to attend regular team building events and an annual company retreat. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work.

About the Role

Hungryroot is looking for an 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. If you want to help us change how people grocery shop and eat for the better, we’d love for you to apply!

Responsibilities

  • 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

Qualifications

  • Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP) Gurobi is our primary platform for linear optimization.
  • 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.

Nice to haves 

  • Machine learning frameworks (e.g., scikit-learn, PyTorch)
  • Masters or PhD in Operations Research

Perks & Benefits 

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

Expected Pay Range
$145,000-$175,000 USD

#LI-REMOTE

The employer will not sponsor applicants for work visas.

Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class. 

 

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