Data Scientist II

About 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!

Grubhub is looking for an innately curious, business-minded, results-oriented Machine Learning Data Scientist to work in our Discovery and Foundation 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. We also build models and features that characterize our merchant and menu item corpus. As a member of this highly collaborative team you will work alongside other data scientists and engineers to help deliver new run time models and services, and grow your skill set. You will be responsible for validating performance of models, proposing new algorithmic approaches to improve our current systems, and helping to identify creative solutions to bridge state of the art information retrieval advanced and engineering requirements. Additionally you will be maintaining 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, brainstorming with collaborating data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts.

Our team practices end to end project ownership and our work focuses heavily on personalized recommendation and classification from content and clickstream. Deep neural networks, transfer learning from pretrained large scale models, classic regressions, fine tuning, and large language models all have a place in our daily lexicon.

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 customer returns via enticing and relevant recommendations for searches
• Assess new algorithms and business policies.
• Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available.
• Discover new and innovative ways to refine what we're doing and question existing assumptions.
• Relentlessly analyze and improve the performance of our business.

What you bring to the table:

• MS in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience.
• 2+ years experience with data analytics, machine learning, or related field.
• 2+ years experience in applied predictive modeling with TensorFlow or PyTorch.
• 2+ years experience in information retrieval or recommendation systems.
• Experience with language models, especially on imperfect grammars.
• Some experience in data engineering and feature preparation in pyspark, hive,and the python data stack.
• Comfort communicating performance metrics, model details, and features specifications to technical audiences.
• Deep interest in self-motivated continuous learning.

The base salary ranges for this position are below. The ranges provided exclude other forms of compensation such as equity and bonus.

New York: $141,000 - $211,000 base salary range

Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. In addition to the base salary, the role might also come with equity and other pay incentives as part of the full compensation package.

And Of Course, Perks!

• Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge.
• Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.
• Compensation. You'll receive a great compensation package with eligibility for generous incentives, commission, or RSUs (role-specific).
• Free Meals. Our employees get a weekly Grubhub credit to enjoy and support local restaurants.
• Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them.

Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to [email protected] 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 email address.

Outreach will only come from verified grubhub recruiters with grubhub.com email addresses

If you are a resident of the State of California and would like a copy of our CA privacy notice, please email [email protected].