Senior Analytics Leader, Core Consumer Discovery

DoorDash

Sunnyvale (CA)

On-site

USD 220,000 - 323,000

Full time

14 days+

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Benefits offered by this job

Equity grants
401(k) with employer matching
Comprehensive benefits

Job summary

DoorDash is seeking an Analytics Senior Manager to lead the Discovery team of data scientists, shaping how we understand the consumer experience and measure new features. You will collaborate with product, engineering, strategy, and operations to translate questions into scalable analyses.

You will establish metrics, oversee our analytics strategy, and mentor team members while partnering with data and product engineers to build robust data foundations that support velocity and informed

Qualifications

  • Strong background in data science and analytics applied to product decisions.
  • Proven experience leading data science teams.
  • Hands-on experience designing and analyzing experiments.

Responsibilities

  • Lead and develop a team of Data Scientists investigating complex issues and uncovering key drivers of the business.
  • Influence Product and Operations roadmaps by delivering data-based recommendations.
  • Regularly present findings to senior leadership and cross-functional partners.
  • Define measurement strategy and implement best practices for experimentation and analytics.
  • Develop a strategic learning roadmap from data observations and hypotheses.

Skills

Team leadership
Data science
Experimentation
Data pipelines
Cross-functional collaboration
Communication

Education

Math/Physics/Statistics/Economics/CS degree

Job description

DoorDash is seeking an Analytics Senior Manager to lead the Discovery team of data scientists, shaping how we understand the consumer experience and measure new features. You will collaborate with product, engineering, strategy, and operations to translate questions into scalable analyses.

You will establish metrics, oversee our analytics strategy, and mentor team members while partnering with data and product engineers to build robust data foundations that support velocity and informed

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