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    Data Scientist / Senior Data Scientist

    DoorDash
    Los Angeles, CA FULL_TIME I4 $124,100—$182,500 USD I5 $152,000—$223,500 USD I6 $184,300—$271,000 USD 2026-07-06

    About DoorDash

    At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

    About the Position

    Introduction

    The Analytics team at DoorDash is seeking experienced Data Scientists and Senior Data Scientists. You will play a crucial role in guiding measurement, strategy, and tactical decision-making across various teams and levels within the company. Data Scientists at DoorDash uncover insights and translate them into actionable recommendations, influencing decisions across the entire organization. Analytics is fundamental to all operational aspects of DoorDash.

    Responsibilities

    • Use quantitative analysis and data presentation to understand business drivers.
    • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools.
    • Mentor junior analysts on advanced methods and problem-solving.
    • Generate recommendations and validate findings using statistical techniques and hypothesis testing.
    • Provide insights to business and product leaders regarding marketplace dynamics, user behaviors, and long-term trends.
    • Identify and measure levers to improve key metrics and make data-driven recommendations.
    • Deconstruct ambiguous problems and develop structured, hypothesis-driven, data-supported solutions.
    • Report on goals by defining key metrics and creating executive-level dashboards to track progress.
    • Collaborate with engineering for the implementation, documentation, validation, and monitoring of logging.

    Requirements

    • Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
    • 2+ years of experience in data analytics, consulting, or a related role.
    • Experience with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models.
    • Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages like Matlab, R, SAS, or Python.
    • Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
    • Ability to tackle ambiguous problems and solve them in a structured, hypothesis-driven, data-supported manner.

    Benefits

    DoorDash is committed to the well-being of its employees and offers a comprehensive benefits package, including:

    • 401(k) plan with employer matching.
    • 16 weeks of paid parental leave.
    • Wellness benefits.
    • Commuter benefits match.
    • Paid time off and paid sick leave (in compliance with applicable laws).
    • Medical, dental, and vision benefits.
    • 11 paid holidays.
    • Disability and basic life insurance.
    • Family-forming assistance.
    • Mental health program.
    • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
    • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked and paid sick time accrued at 1 hour for every 30 hours worked.

    About Company

    DoorDash is a technology and logistics company dedicated to empowering local economies. Their mission drives team members to innovate and make impactful decisions that benefit Dashers, merchant partners, and consumers alike. Starting with door-to-door delivery, DoorDash aims to become the go-to platform for all goods. The company's rapid growth and dynamic environment offer team members opportunities to leverage unique perspectives, solve new challenges, and shape their careers. DoorDash values diversity and inclusion, striving to create an inclusive community within the company and industry. They believe in fostering an environment where everyone can thrive and contribute to innovation, actively encouraging applications from diverse backgrounds and experiences. DoorDash is an equal opportunity employer and considers all qualified applicants, including those with arrest and conviction records, in accordance with applicable regulations.

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    Location

    Los Angeles, CA

    Type

    FULL_TIME

    Keywords

    AI
    Data Science
    Analytics
    SQL
    Python
    R
    Statistical Analysis
    A/B Testing
    ETL
    Machine Learning
    Data Visualization
    Marketplace Dynamics
    User Behavior
    Growth Analytics
    Operations Analytics
    Verified Company

    Data Scientist / Senior Data Scientist

    DoorDash