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 Data Scientist to join our growing Data Team. As a Data Scientist, you will work closely with other Data Scientists and Data Engineers to develop various Machine Learning models that power Hungryroot and it’s AI functions. These models include traditional forecasting models, as well as more industry-specific optimization challenges.
As a Data Scientist at Hungryroot, you will work on answering questions like: how do you tell what food someone would like to eat this week, how do you determine whether they enjoyed it or not, maybe they liked their means last week, but are now looking for different options, maybe they like the same food on Tuesdays, but variety on Fridays, what about spicy food, is Green Chilly as spicy as Green Curry?

Food is an untapped resource in the world of Data Science, and Hungryroot is at the forefront in this space. Our team builds models to understand human taste, and provide the best food to our customers week after week.

Come join our team, apply your Machine Learning passion to a new space, and have fun in the process!

How You’ll Make an Impact

• Work with the other Data Scientists in creating new predictive models
• Collaborate with the other Data Scientists in creating personalization models (recommender systems, user preference models,...)
• Build operations optimization models (what food we deliver to whom)
• Partner with the Data Engineers to integrate the models in the production pipeline
• Be data-driven and analytical when it comes to understand experiment results, derive conclusions, and help the team move forward

Why We Need You

• Recent experience programming with Python
• Intermediate proficiency with SQL (comfortable using group-by aggregate functions, subqueries, window functions)
• Comfortable working with standard Python data science libraries (numpy, pandas, matplotlib, scikit-learn) to preprocess and manipulate datasets in order to perform data analysis or train machine learning models
• Familiarity working with traditional machine learning and optimization techniques
• Bonus: Knowledge of AWS (EC2, S3, Redshift)
• Bonus: Familiarity with a Business Intelligence tool such as Looker or Tableau
• Bonus: Experience with implementing and training deep learning and/or recommender system models
• Bonus: Familiarity with Scala (Apache Spark, Kafka, Flink, Arrow) or a willingness to learn

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.