Manager, Data Science

DoorDash; Sunnyvale (CA); On-site; USD 184,300 - 271,000; Full time

Benefits offered by this job

401(k) with employer matching

16 weeks paid parental leave

Wellness benefits

Paid time off and sick leave

Medical, dental, vision insurance

Disability and life insurance

Job summary

A leading food delivery service is seeking two Data Science Managers in Sunnyvale, California to lead a team focused on high-impact analytics and decision support. In this role, you will work closely with various teams to influence product and business strategies. Ideal candidates will have over six years of experience in analytics, strong communication skills, and the ability to manage and develop teams. The position offers a competitive salary and a comprehensive benefits package, including paid time off and wellness benefits.

Qualifications

• 6+ years of experience in analytics, data science, or a related quantitative field.
• Experience managing and developing data scientists or analysts.
• Strong analytical fundamentals including experimentation and predictive modeling.
• Excellent communication skills to influence stakeholders.
• Ability to prioritize impact work in fast-moving environments.

Responsibilities

• Lead and develop a team of data scientists for high-impact analytics.
• Partner with various teams to influence decisions and roadmaps.
• Build metrics and frameworks connecting product and business outcomes.
• Create reusable analytical frameworks enhancing organizational effectiveness.

Skills

Analytics

Data Science

Predictive Modeling

Cross-functional Communication

Team Leadership

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.