Decision Scientist II

Why Work For Us

Grubhub, part of Wonder Group Inc, is all about connecting hungry diners with our network of over 375,000 merchants 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!

About Grubhub

At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It’s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.

Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. Featuring over hundreds of thousands of merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.

Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.

About the Role
The Fulfillment Data Science team at Grubhub is dedicated to building predictive ML models within the fulfillment services space, such as delivery estimation, dispatch, scheduling, and driver pay. We are seeking a Data Scientist II to join this innovative and collaborative team. This role will involve developing state-of-the-art machine learning models, working closely with engineering and product teams, and driving impactful solutions to complex logistics challenges.

The Impact You Will Make

• Develop and Enhance Predictive Models: Design, build, and optimize machine learning models to improve delivery estimation, dispatching efficiency, driver pay optimization, and scheduling reliability.

• Collaborate Across Teams: Partner with Product, Engineering, and Operations teams to define model objectives, gather requirements, and align ML solutions with business goals.

• Innovate with Cutting-Edge Techniques: Leverage tools like H2O, XGBoost, and AWS (Sagemaker, EMR, S3, EC2) to implement scalable solutions that meet Grubhub's high performance and accuracy standards.

• Optimize Key Metrics: Establish and monitor KPIs for ML models, continuously improving business outcomes such as fulfillment efficiency, diner satisfaction, and operational costs.

• Contribute to MLOps Excellence: Participate in discussions for improving the MLOps framework for streamlined model development and deployment, ensuring robust performance and reproducibility.

• Promote Data-Driven Insights: Communicate findings, model performance, and recommendations effectively to technical and non-technical stakeholders.

What You Bring to the Table

• Educational Background: Advanced degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, Statistics, or equivalent experience.

• ML Expertise: 3+ years of experience with machine learning libraries such as XGBoost, PyTorch, TensorFlow, or similar frameworks. Familiarity with decision trees, gradient boosting, and deep learning techniques.

• Programming Skills: Strong proficiency in Python, including data manipulation libraries (Pandas, NumPy) and distributed computing frameworks (PySpark, Hive).

• Business Acumen: Proven ability to translate business requirements into ML solutions with measurable impact. Experience in logistics, fulfillment, or operations is a plus.

• Data Engineering: Hands-on experience with data preparation, feature engineering, and handling large datasets in a distributed environment.

• Communication: Ability to clearly articulate complex technical ideas to diverse audiences, including leadership and non-technical stakeholders.

• Problem-Solving: A passion for tackling ambiguous, complex problems and delivering innovative solutions.

• Continuous Learning: A growth mindset with a deep interest in staying updated on the latest advancements in machine learning and logistics.

Base Salary:

New York: $176,00 - $183,500

Illinois: $158,500 - $165,000

Wonder 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.

And Of Course, Perks!

• PTO. Grubhub employees enjoy a generous amount of time to recharge.

• Health and Wellness. Excellent medical, dental and vision benefits, 401k, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.

• Free Meals. Our employees get a weekly Grubhub credit to enjoy.

• 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.  

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