Manager, Data Science

DoorDash

San Francisco (CA)

On-site

USD 184,300 - 271,000

Full time

14 days+

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Benefits offered by this job

401(k) with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Flexible paid time off
Medical, dental, and vision insurance
Disability and life insurance
Mental health program

Job summary

A prominent food delivery service in San Francisco is looking for a Data Science Manager to lead a team of data scientists. In this role, you will partner with multiple departments to shape high-priority product and business decisions. The ideal candidate has over 6 years of experience in analytics or data science and strong analytical fundamentals. The position offers a competitive pay range of $184,300—$271,000 along with comprehensive benefits, including flexible PTO and equity opportunities.

Qualifications

  • 6+ years of experience in analytics, data science, or a related quantitative field.
  • Experience managing and developing a team of data scientists.
  • Strong analytical skills, including experimentation and predictive modeling.

Responsibilities

  • Lead and develop a team of data scientists responsible for high-impact analytics.
  • Partner with various departments to influence roadmaps and improve metrics.
  • Define success metrics and build measurement frameworks.

Skills

Analytics
Predictive modeling
Cross-functional partnership
Communication skills
Prioritization

Job description

About the Role

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.

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.
Desired Qualifications
  • 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.
Compensation and Benefits
  • 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.
Equal Opportunity Employer

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. We also strive to prevent other subtler forms of inappropriate behavior. We value a diverse workforce and encourage all qualified applicants to apply.

Disability Accommodation

If you need any accommodations, please inform your recruiting contact upon initial connection.

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