Data Scientist / Senior Data Scientist, Analytics

July 18, 2026

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About the Team

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Please apply here for all non-managerial levels within the following analytics teams:

Consumer & Growth
Business Operations
Dasher & Logistics
Customer Experience & Integrity
Merchant, Ads & Sales
New Verticals
International Data Science

About the Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Work with and mentor junior analysts on how to use more advanced methods and solve challenges
Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
Identify and measure levers to help move essential metrics and make recommendations
Work backwards from understanding and sizing problems to ideating solutions
Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
Collaborate with engineering to implement, document, validate, and monitor our logging

We're excited about you because you have…

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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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