Manager, Data Science

DOORDASH, INC.
San Francisco, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Decision Support Systems

Job 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.

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 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.

Benefits & conditions

  • Pay range: $184,300-$271,000 USD (based on job-related factors, location, and market conditions).
  • Equity opportunities (details provided by recruiter).
  • Benefits package includes 401(k) with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and sick leave, medical, dental, vision, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program.
  • Paid time off: for salaried roles, flexible PTO/vacation plus 80 hours of paid sick time per year; for hourly roles, vacation and sick time accrue based on hours worked.

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