Manager, Eng - Data Science

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!
About The Team
At Grubhub Fulfillment, we are responsible for delivering orders efficiently with a strong focus on providing an excellent experience to our diners, restaurants and drivers. In this role, you will manage the data science team responsible for the models that underpin our delivery systems. These models provide critical estimates about inputs to the system such as how long a delivery might take to deliver and how delivery drivers might respond to offers that we make. This team also answers questions about how to make the systems more efficient and how to accommodate new business opportunities. The team is not afraid of dealing with ambiguities of the problem space. Solutions are not built in a vacuum but in close collaboration with business stakeholders, engineers and product team members and only after understanding the context.
About The Role
As the Manager of Data Science, you will play a pivotal role in driving our data science initiatives and shaping our data-driven strategy. You will lead a team of skilled data scientists and work closely with cross-functional teams to extract insights from data, develop predictive models, and drive actionable recommendations. This position offers an exciting opportunity to influence decision-making, drive innovation, and make a significant impact on the success of our company.
Impact You Will Make:
Leadership and Team Management:

• Lead, mentor, and develop a team of data scientists, providing guidance, support, and feedback to foster their professional growth.
• Set clear objectives, prioritize tasks, and ensure timely delivery of high-quality work.
• Foster a collaborative and inclusive team culture that values creativity, innovation, and continuous learning.

Data Strategy and Planning:

• Collaborate with senior leadership to define and execute the company's data science strategy, aligning with business goals and objectives.
• Identify opportunities to leverage data science techniques and technologies to drive business value.
• Develop roadmaps and timelines for key data science initiatives, ensuring alignment with broader organizational priorities.

Data Analysis and Modeling:

• Oversee the design, development, and implementation of advanced analytical models and algorithms to solve complex business problems.
• Guide the team in conducting exploratory data analysis to uncover insights, trends, and patterns in large and complex datasets.
• Apply machine learning, statistical analysis, and other quantitative techniques to derive actionable insights and recommendations.

Collaboration and Stakeholder Engagement:

• Partner with cross-functional teams, including product, engineering, marketing, and finance, to understand business requirements and translate them into data science solutions.
• Communicate findings, insights, and recommendations effectively to technical and non-technical stakeholders, including senior leadership.
• Act as a trusted advisor to business partners, providing strategic guidance and thought leadership on data-driven decision-making.

What You Bring To The Table:

• Master's degree in Computer Science, Statistics, Mathematics, or a related field
• 3+ years experience managing and motivating a team of data scientists, providing mentorship and career progression and planning in a formal setting.
• Experience leading data science teams in a fast-paced, agile environment, with the ability to manage multiple priorities and deliverables simultaneously.
• Expertise in machine learning, statistical analysis, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL.
• AWS experience
• Strong fundamentals (data structures, algorithms)
• Experience dealing with production runtime constraints and tradeoffs
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

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