• Decision Scientist II (Market Management)

    Job Locations US-NY-New York | US-IL-Chicago | US-PA-Philadelphia
    Job ID
  • About The Opportunity

    Here at Grubhub we’ve been dedicated to giving diners the most convenient way to order food from their favorite restaurants (whether that’s a late night Chalupa from Taco Bell or a salad for lunch from a local restaurant the day after they enjoyed said late night Chalupa).


    While we are food-obsessed, we are also customer-obsessed. We look to constantly innovate our technology so our diners’ food experience is memorable, restaurant owners get more business and individuals across the country looking for part-time work can deliver the food from the restaurant to the diner flawlessly. We take great pride in knowing that we are a part of 17+ million diners food ordering experience and we are partnered with 105,000 restaurants in 2,000 US cities across our suite of apps (Grubhub, LevelUp, Seamless, Tapingo, Eat24).

    Want to be a part of the biggest movement in the US that is moving eating forward? If so, we want to talk to you - and hear what’s your favorite restaurant for food delivery!

    Some Challenges You’ll Tackle

    • Build probabilistic/stochastic models for real time systems
    • Build algorithms to support automated decisions/strategies for market management 
    • Build and deploy predictive models at scale that help us improve the business
    • Derive insight about business and customer behavior from our proprietary data
    • Identify new metrics and scoring methodologies to improve our business

    You Should Have

    • 2+ years of experience in quantitative modeling/analytics with regression, classification and clustering techniques using machine learning algorithms
    • Experience with ML packages (sklearn, xgboost, keras etc.)
    • Experience in designing algorithms/strategies for real time systems under feedbacks and stochastic environment
    • Familiarity with probabilistic/stochastic modeling for real-time decision making using online estimation techniques
    • Thorough understanding of underlying mathematical concepts. Should not be afraid to read an applied math paper and explain the concepts to the group and how it can be used for the business
    • Ability to query data sources directly using SQL
    • Experience in quick prototyping in python
    • Basic familiarity with object oriented code design
    • MS or PhD in a quantitative field (Computer Science, Operations Research, Statistics, Physics, Applied Math, Engineering, etc.)
    • Above all a strong motivation to learn new techniques, explore data, and implement production solutions to business problems

    Got any of these? Even Better

    • Experience in models governing/controlling network evolution
    • Experience with optimization under feedback such as reinforcement learning paradigm etc
    • Experience in Java
    • Familiarity with queuing theory

    And Of Course, Perks!

    • Flexible PTO. It’s true, no strings attached and all the time you need to recharge.
    • PTO. It’s true, we provide you a generous amount of time to recharge.
    • Better Benefits. Get quality insurance, flex-spending accounts, retirement options and commuter perks.  
    • Free Food. Kitchens are stocked and free Grubhub each week.
    • Stock Up. All of our employees are owners, in fact, they’re granted Restricted Stock Units, which means we’re all in it to win it.
    • Casual Culture. Catch rays on the rooftop or get comfy on a couch and get to know your coworkers — because work, should be a place you want to be.


    Grubhub is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. The EEO is the Law poster is available here: DOL Poster. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to talentacquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.


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