Manager, Data Science

About the Team

Merchant Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. We work across some of DoorDash’s most important merchant and marketplace priorities, building the measurement, insights, and decision frameworks that improve outcomes for merchants and drive company impact.

About the Role

We’re hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into Director, Data Science on our Merchant Analytics team in our Analytics organization.

You’re excited about this opportunity because you will…

• Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities.
• Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
• Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
• Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
• Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.

We’re excited about you because…

• You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
• You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
• You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
• You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
• You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.

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