Lead Data Scientist

DoorDash, Inc

Quick summary

Work type: On-site
Location: San Francisco, CASeattle, WANew York, NY
Salary: $219,700–$323,000 / yr
Posted: 7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k

This role $271k

$72k most similar roles pay here $350k

This role pays more than 97% of similar roles. Most pay $126,800–$195,456 — the shaded band above. At the midpoint, this role pays about $271k versus about $161k 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 242 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 161 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Lead Data Scientist

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The Lead Data Scientist role at DoorDash involves guiding measurement and strategic decision-making within the Analytics team, focusing on solving complex business problems through advanced analytics. This senior individual contributor will mentor junior data scientists, influence product and operations roadmaps with actionable recommendations, and interface with senior leadership to showcase impactful work. Daily responsibilities include driving measurement strategies, defining success metrics, and developing a learning roadmap based on data-driven insights. Ideal candidates have 8+ years of experience in Data Science and Product Analytics, with expertise in experimentation, data pipelines, and cross-functional collaboration. Strong communication skills are essential for presenting complex findings to non-technical stakeholders. This role offers the opportunity to work on diverse challenges across DoorDash’s global marketplace, impacting areas such as customer acquisition, supply-demand balance, fraud prevention, marketing, and operational efficiency.

Skills

Python SQL Experimentation Data Pipelines CI/CD Kubernetes AWS PostgreSQL Mentorship Communication Skills

What you'll do

Lead and mentor junior Data Scientists in investigating complex business issues.
Influence Product and Operations roadmaps with actionable data-driven recommendations.
Define success metrics and implement best practices for experiment design.
Present findings to senior leadership, driving strategic decision-making processes.
Develop a strategic learning roadmap based on data observations and hypotheses.

What we're looking for

8+ years of experience in Data Science and Product Analytics
Strong background in Math, Physics, Statistics, Economics, or Computer Science
Proven expertise in leading through technical skills and business context
Deep hands-on experience with experimentation and data pipelines
Excellent communication skills for presenting complex findings to non-technical audiences
Ability to influence strategic decisions and mentor junior Data Scientists