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# Data Scientist / Senior Data Scientist

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,100.0 - $182,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Extract Transform Load (ETL), R (Programming Language), Statistical Hypothesis Testing, Python (Programming Language), MATLAB, Regression Analysis, SAS (Software), SQL Databases, Tableau (Software), Data Logging, Information Technology, Statistics Packages, Data Analytics, Looker Analytics
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-senior-data-scientist-san-francisco-ca--45668c3b-0588-4bc5-be79-74b33cb0abb4

## About the Role

Data Science, Data Science, Delivery Driving, Food Delivery, Business Operations, Logistics, Customer Experience, Sales, Customer Acquisition, Marketing, * 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

## Description

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!, * 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, How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.