Data Scientist II

  • Anywhere

Company Name:-
Grubhub Holdings, Inc.

Job Location:-
New York, NY 10036 (Garment District area)

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionAbout The Opportunity:

We’re all about connecting hungry diners with our network of over 300,000 restaurants nationwide.

Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering.

When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!
Why Work For Us
Grubhub is a place where authentically fun culture meets innovation and teamwork.

We believe in empowering people and opening doors for new opportunities.

If you’re looking for a place that values strong relationships, embraces diverse ideas–all while having fun together–Grubhub is the place for you!
More About the Role
Grubhub is looking for an innately curious, business-minded, results-oriented Data Scientist to work in our Search and Discovery team.

We are focused on providing high quality recommendations to diners who are exploring restaurants in their area as well as those who are searching for something specific.

As a member of this highly collaborative team you will partner with other data scientists, engineering, and product to deliver new run time models and services.

You will be responsible for creating metrics to validate performance of models, proposing new algorithmic approaches to improve our current system, designing A/B tests, and identifying creative solutions to bridge state of the art information retrieval advanced and business and engineering requirements.

Additionally you will be driving technology best practices and guiding the evolution of responsive systems.

Some specific responsibilities include but are not limited to creating documentation accessible to both technical and non-technical audiences, mentoring junior data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts, advising best algorithmic trade offs to business stakeholders.

The Impact You Will Make:
Help the business gain insights from recommendations in search and discovery with regard to short and long term metrics
Drive orders and diner returns via enticing and relevant recom


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