Data Scientist / Senior Data Scientist

DoorDash, Inc

Quick summary

Work type: On-site
Location: San Francisco, CA · Seattle, WA · New York, NY · Los Angeles, CA · Chicago, IL · Austin, TX · Washington, DC
Salary: $124,100–$182,500 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $158k

This role $153k

$95k most similar roles pay here $233k

This role pays less than 59% of similar roles. Most pay $126,800–$188,900 — the shaded band above. At the midpoint, this role pays about $153k versus about $158k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $131,600–$193,500 across 156 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Data Scientist / Senior Data Scientist

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As a Data Scientist or Senior Data Scientist at DoorDash, you will join the Analytics team to guide strategic and operational decision-making across various departments. Your role involves uncovering insights from large datasets and presenting them in actionable recommendations for business leaders. You will build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, and other statistical tools while mentoring junior analysts on advanced methods. Key responsibilities include validating findings through hypothesis testing, identifying levers to move essential metrics, and collaborating with engineering teams to implement solutions. Ideal candidates have a degree in Math, Physics, Statistics, Economics, or Computer Science, along with 2+ years of experience in data analytics roles. Expertise in SQL queries, ETL processes, A/B Testing, and proficiency in tools like Chartio, Looker, or Tableau is essential for tackling complex business challenges at DoorDash's scale.

Skills

SQL R Python Matlab SAS Chartio Looker Tableau Hypothesis Testing AB Testing ETL Regression Models Time Series Analysis Cohort Analysis Funnel Optimization

What you'll do

Use quantitative analysis to uncover business insights and drive decision-making.
Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or similar tools.
Mentor junior analysts on advanced methods and problem-solving techniques.
Produce recommendations based on statistical techniques and hypothesis testing.
Provide insights to help leaders understand marketplace dynamics and user behaviors.
Identify levers to move essential metrics and make data-driven recommendations.
Work with engineering teams to implement, document, validate, and monitor logging systems.

What we're looking for

2+ years of experience in data analytics, consulting, or related field.
Expertise in SQL queries, ETL processes, A/B testing, and statistical analysis.
Proficiency in using statistical packages like R, Python, SAS for hypothesis testing.
Ability to mentor junior analysts on advanced methods and problem-solving techniques.
Experience with funnel optimization, user segmentation, cohort analyses, time series.
Strong skills in data visualization tools such as Chartio, Looker, or Tableau.
Degree in Math, Physics, Statistics, Economics, Computer Science, or related field.

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