> Markdown version of [/jobs/ext/4620775-manager-data-science](https://www.wearedevelopers.com/jobs/ext/4620775-manager-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager, Data Science

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Decision Support Systems
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_a4c25b0d22a45069ffbd1b616923c4f4

## About the Role

* 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
 * Experience managing and developing data scientists or analysts and a proven track record of setting a high bar on quality, ownership, and impact.
 * Strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
 * Excellent cross-functional partnership and communication skills, able to influence stakeholders and tailor messages from working teams to senior leadership.
 * Highly effective at prioritization and ability to focus the team on the highest-impact work in a fast-moving environment.

## 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 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 to the Director of Data Science on the Merchant Analytics team in the 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.