Data Scientist / Senior Data Scientist
Doordashusa · San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C. · Posted Jun 23, 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
About the Team
The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.
About the Role
We’re hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance.
You’ll serve as a hands-on architect and technical partner to product engineering and infrastructure teams, helping translate complex business requirements into resilient and scalable data models. Your work will directly influence the evolution of Taulu , DoorDash’s unified storage abstraction layer, by shaping best practices and identifying platform gaps through real world engagements.
This is a high-impact, cross functional role that combines deep technical expertise with a customer centric approach. You’ll lead solutioning engagements from design through production, drive the adoption of Taulu modeling best practices, and ensure that our systems meet goals around reliability, cost efficiency, and velocity. You must be located in San Francisco, Sunnyvale, Seattle or New York for this hybrid opportunity.
You’re excited about this opportunity because you will…
Design and implement highly scalable, fault tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions.
Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput.
Lead data modeling, pe…