Senior Operations Research Engineer

Who We Are

Hungryroot is the all-in-one recipe and grocery service. We're here to help people feel their best and make grocery shopping, cooking, and enjoying healthy food easier than ever. So, we're creating the first-of-its-kind food experience that puts people (and the planet) first, built for busy lives and individual needs.

We are a distributed team built on top talent from over 10 states across the U.S. While we have an office in NYC, we support employees creating "offices" wherever they are. We believe in fostering team connection and collaboration across all of our "offices" - so don't expect to be online at 6 am to make a meeting if you're on the West coast. Expect to attend regular team building events, and to be able to work from the beach every once in a while. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work.

What You'll Do

Hungryroot is looking for a Sr. Operations Research Engineer to join our growing Data Science team. This person will build and evolve various optimization models, especially around selecting recipes and ingredients to send customers. The role involves developing, evolving, and optimizing model formulations in Python, using Gurobi.

This person will work closely with various stakeholders, from the operations to the data science department to business analysts.

This is a great opportunity for someone that enjoys iterating and building models that have a very real impact on the food people eat. The work this person will do will have tangible meaning, allowing them to have an opportunity to truly make a positive difference in people's lives - healthy eating makes such a big difference. If you're interested in learning more about this unique domain/market space and being able to be a part of a company that is mission driven, this role is for you!

Responsibilities

• Design optimization models for the core algorithms powering Hungryroot's differentiation: populating the customers' cart with recipes that fit the customers' food preferences.
• Work closely with product, design, and engineering teams to understand feature visions and own optimization strategy.
• Leverage machine learning and statistical methods to enhance optimization & predictive analyses
• Able to work independently, think critically while also able to collaborate with open mindedness in building quantitative approaches for ambiguous and complex problems.
• Design optimization models for the core algorithms powering Hungryroot's differentiation: populating the customers' cart with recipes that fit the customers' food preferences
• Work closely with business analytics, product, design, and engineering teams to develop concepts and evolve our optimization approaches.
• Collaborate with your colleagues, influence them, use data to make decisions.

Requirements

• 5+ years of operations research experience. Hands on experience developing and improving model formulations in Gurobi, CPlex, Express, or another commercial solver.
• 3+ years of professional experience in Python.
• Experienced with designing and implementing optimization solutions.
• Experience with SQL databases to retrieve data.
• Ideal: experience with Spark and Databricks.
• Ideal: interest in food and reduction in food waste. We're looking for someone helping people eat healthy; and passionate about optimizing our supply chain to minimize food waste.
• Masters degree in Operations Research or related discipline.

Perks & Benefits

• Remote Work Optional: Work from home, work from our NYC office, work from anywhere, you decide!
• Competitive compensation + comprehensive Medical, Dental, and Vision benefits
• Unlimited vacation policy
• Monthly Hungryroot credit
• Universal paid parental leave
• 401k
• Commuter benefits
• A working environment filled with passionate, happy, smart people!

#LI-REMOTE

Hungryroot is built on the values of being proactive, positive, and transparent in all that we do. 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 race, religion, ethnicity, national origin, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability.