Staff Decision Scientist

Why Work For Us

Grubhubpart ofWonder Group Incis all about connecting hungry diners with our network of over 375000 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 the Role

At Grubhub Fulfillment Decision Modeling our mission is to build decision-making systems that power a world-class logistics network. As a Staff Decision Scientist you will go beyond individual problem solvingyou will shape the strategic direction of decision modeling frameworks across Fulfillment mentor senior and junior scientists and collaborate closely with engineering to move our decision intelligence capabilities toward scalable production-grade systems.

You will identify the highest-leverage decision points in our marketplace (ETA setting dispatching routing pricing and transmission timing) design mathematically principled frameworks to optimize them under uncertainty and lead the technical evolution toward sequential adaptive decision systems. You will help define how we structure trade-offs like speed vs. cost variance vs. confidence and reliability vs. optimization aggressiveness. Youll prototype experiment influence architecture and ensure we operationalize models that actually move business metricsnot just models that look good offline.

The Impact You Will Make

• Serve as a technical thought leader in Decision Modeling within Fulfillment defining principles frameworks and best practices for how Grubhub makes dispatch ETA routing and pricing decisions at scale.

• Mentor and coach a growing team of Decision Scientists and contribute to career development and technical excellence across the group.

• Lead the exploration of interdependent decision layers recognizing feedback loops between ETA policy transmission timing routing and dispatch logic.

• Partner with engineering to drive architecture decisions for shared data layers modeling APIs and real-time decision services.

• Define and implement robust experimentation strategies for decisions that move business metrics by seconds or cents in high-noise environments.

• Champion a shift from pure predictive modeling to true decision intelligence integrating optimization heuristic search and risk-aware inference into systems that learn and adapt.

What You Bring to the Table

• 8 years of industry experience with MS or 6 years with PhD in Operations Research Applied Mathematics Computer Science Optimization or related quantitative fields.

• Proven experience framing business processes as structured decision problems (e.g. resource allocation vehicle routing assignment ETA forecasting with decision impact awareness supply/demand balancing under noise).

• Deep expertise with formulating and solving optimization problems (MIPs heuristics stochastic optimization routing algorithms). Experience with Gurobi CPLEX or Xpress.

• Strong intuition for decision impact trade-offs speed vs. cost ETA confidence vs. conversion risk dispatch aggressiveness vs. courier incentives etc.

• Proficiency in Python data analysis visualization and writing scalable production-ready code using object-oriented design.

• Demonstrated ability to take decision models into production partnering with engineering on architecture and deployment best practices.

• Fluency in SQL or similar tools for directly interrogating production-scale datasets.

• Experience mentoring and providing technical direction to other scientists or engineers.

Got any of these Even better

• Experience leading end-to-end design of decision-making or planning frameworks within real-time logistics or marketplace systems.

• Experience designing sequential decision systems with ML and optimization feedback loops rather than isolated point predictions.

• Background in stochastic control Bayesian decision theory or variance-aware modeling for dynamic systems.

• Experience with real-time event-driven production systems and applied experimentation frameworks (A/B testing power analysis under noisy conditions).

• Influence across disciplines able to align product engineering and science around a cohesive decision architecture vision.

• Experience defining strategy and technical roadmaps for decision modeling platforms.

Base Salary:

New York: $240000- $249500

Illinois: $216000- $224500

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 candidates 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 theGrubhub 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 youre 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 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.

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