Wonder · 3 hours ago
Manager, Engineering - Data Science
Grubhub is a leading online food ordering company that connects diners with local restaurants. The Platform Modeling Manager will lead the data science team responsible for developing advanced analytical models and provide business insights through data analysis, collaborating closely with Product and Engineering teams.
E-CommerceFood and BeverageFood DeliveryRestaurants
Responsibilities
Oversee the design, development, and implementation of advanced statistical and machine learning models and algorithms to solve complex business problems within the delivery ecosystem
Guide the team in conducting exploratory data analysis and applying quantitative techniques to derive actionable insights and recommendations that drive business value
Define and enforce strong software architecture and development best practices, ensuring the team builds, owns, and maintains scalable, reusable services, features, and components
Monitor the health of the production models, utilizing metrics, observability, and logging tools
Lead, inspire, and grow a diverse team of data scientists, providing mentorship, career planning, and constructive feedback
Collaborate with senior leadership to define and execute Wonder’s data science and engineering strategy, aligning roadmaps and timelines with core business goals
Craft a meaningful technical vision for the team, working closely with product and engineering teams to lead ML and AI vision and cross-functional initiatives
Lead the team's agile ceremonies, positively influencing the planning, refinement, and execution of goals in a rapid development environment
Act as a trusted advisor to business partners, providing strategic guidance and thought leadership on data-driven decision-making
Qualification
Required
3+ years of management experience leading and motivating a team of data scientists or software engineers, including mentorship and career planning
6+ years of software engineering or related experience
Proven track record of leading technical teams in a fast-paced, Agile environment, managing multiple priorities and deliverables simultaneously
Experience in a self-directed role, responsible for end-to-end deliverables, and a history of advocating for strong data science standards
Master's degree in Computer Science, Statistics, Mathematics, or a related field
Expertise in machine learning, statistical analysis, and data mining techniques
Strong proficiency in key programming languages such as Python, R, and SQL
Proficiency with big data technologies, e.g. dbt, Apache Spark, Ray or similar
Experience dealing with production runtime constraints and trade-offs
Strong fundamentals in statistics and data structures
Deep understanding of and hands-on experience with distributed computing systems
Ability to debug production issues using observability and logging tools
Exceptional communication and interpersonal skills, with the ability to actively listen and effectively collaborate with product management and cross-functional teams
Ability to translate complex technical concepts, findings, and insights into clear, actionable recommendations for both technical and non-technical stakeholders, including senior leadership
Benefits
Equity
401K
Medical, dental, and vision plans
Company
Wonder
Wonder is a food delivery startup that operates truck-based restaurants from which consumers can order food through a mobile app.
H1B Sponsorship
Wonder has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$2.5BKey Investors
New Enterprise AssociatesNestleBain Capital Ventures
2025-05-06Series D· $600M
2024-11-13Series C· $250M
2024-03-19Series Unknown· $700M
Recent News
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2025-12-31
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2025-12-30
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2025-12-30
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