Manager, Data Science

DoorDash US
San Francisco, Sunnyvale, Seattle, New York, Chicago, Austin
Workplace: OnsiteFull timeUSD 184,300 - 271,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: []

Data Science Manager leading a pod within Merchant Analytics to drive high-impact product, business, and GTM decisions through analytics, predictive modeling, experimentation, and strategic partnership with cross-functional teams. You’ll shape metrics, build measurement frameworks, and scale reusable analytics while delivering measurable business impact.

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DoorDash US
DoorDash US
5 months ago

Manager, Data Science

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Last checked: 29 minutes agoStatus: Live

Job Summary

Data Science Manager leading a pod within Merchant Analytics to drive high-impact product, business, and GTM decisions through analytics, predictive modeling, experimentation, and strategic partnership with cross-functional teams. You’ll shape metrics, build measurement frameworks, and scale reusable analytics while delivering measurable business impact.
Location: San Francisco, Sunnyvale, Seattle, New York, Chicago, Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 184,300 - 271,000 annually
Equity and Bonus:Equity
Perks:401kParental LeaveWellness StipendCommuter BenefitsPaid LeaveMedical BenefitsDentalVisionLife InsuranceDisabilityFamily-formingHealth Insurance

Key Requirements

  • •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 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 partner and communicator who can influence stakeholders and tailor messages from working teams to senior leadership
  • •high prioritization discipline and ability to focus team on the highest-impact work in a fast-moving environment
Experience:6+ yearsAnalyticsData sciencePredictive modeling
Languages:English

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn