DoorDash US

3 months ago

Manager, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours 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

Website LinkedIn

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DoorDash US

3 months ago

Manager, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn