Manager, Engineering - Data Science

Wonder Group • Chicago, IL

2d • $216,000 - $249,500 • Hybrid

About The Position

As the Platform Modeling Manager within the Machine Learning and AI group, you will lead the team responsible for core models that underpin much of our platform. This includes forecasting and other predictive models, along with experimentation and causal inference. The team supports modeling efforts across Wonder Group, including Grubhub, Wonder restaurants, and Blue Apron. This pivotal role demands a leader who can drive our data science strategy. You will lead a skilled team to develop advanced analytical models that provide critical system inputs, while also providing business insights through rigorous data analysis. You will guide your team from ambiguous problem statements to context-driven, actionable solutions, working in close collaboration with Product, Engineering, and business stakeholders.

Requirements

• 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

Responsibilities

• Technical & Modeling Leadership
• 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
• Team Management & Strategy
• 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

Benefits

• We offer a competitive salary package including equity and 401K.
• Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 1,001-5,000 employees