Director, Analytics, Commerce Platform

DoorDash, Inc

Quick summary

Work type: On-site
Location: New York, NY · San Francisco, CA · Sunnyvale, CA · Seattle, WA
Salary: $255,000–$375,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $315k

$117k most similar roles pay here $403k

This role pays more than 96% of similar roles. Most pay $144,200–$240,000 — the shaded band above. At the midpoint, this role pays about $315k versus about $192k for comparable roles.

Based on 238 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 · Director, Analytics, Commerce Platform

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As the Director of Data Science for DoorDash’s Commerce Platform team, you will lead a high-impact portfolio supporting product innovation and commercialization. Your responsibilities include shaping measurement frameworks, guiding strategic investments, and building data foundations to drive decision-making across various stages of product maturity. You will collaborate closely with Product, Engineering, Strategy & Operations, and Go-to-Market teams to influence roadmaps and investment decisions while improving instrumentation and creating single sources of truth for better business outcomes. Ideal candidates have over 10 years of experience in Data Science or a related field, strong leadership skills, expertise in experimentation and causal inference, and hands-on technical fluency in SQL and statistical analysis. This role offers the autonomy to operate in a startup-like environment while leveraging the resources of a large analytics organization.

Skills

SQL Python R Kubernetes AWS CI/CD Docker PostgreSQL Snowflake Tableau PowerBI Git Jira Terraform Scrum Agile

What you'll do

Lead and grow a team of data science and analytics professionals across various product stages.
Own the analytical direction, including KPI design, experimentation, and decision support for portfolio products.
Partner with Product, Engineering, Strategy & Operations to influence roadmap and investment decisions.
Build systems for decision-making by improving instrumentation and creating single sources of truth.
Operate with autonomy in a startup-like environment while benefiting from scaled analytics organization support.

What we're looking for

10+ years of experience in Data Science, Analytics, or a related quantitative field.
Proven track record leading senior teams and developing managers.
Strong product and business analytics judgment with expertise in experimentation and causal inference.
Hands-on technical fluency in SQL and statistical analysis.
Experience working cross-functionally with Product, Engineering, and business leaders.

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