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# Manager, Data Science

- **Company:** DOORDASH, INC.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $184,300.0 - $271,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Decision Support Systems, Information Technology
- **Published:** August 28, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdxe48wrs

## About the Role

* You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
 * 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.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

## Description

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., * 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.


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