Senior Data Scientist - Remote Analytics Leader

Remote

San Francisco (CA)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Job summary

DoorDash is seeking experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decisions across the company. You will mentor analysts, explore large datasets, and deliver data-driven recommendations across marketing, growth, operations, and marketplace efficiency.

You will build analytics dashboards, conduct experiments, and present insights to product and business leaders.

Qualifications

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 2+ years of experience in data analytics, consulting, or related role.
  • Experience with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
  • Proficiency in SQL queries, ETL, A/B Testing, and statistical analysis with packages like Matlab, R, SAS or Python.
  • Proficiency in analytics & visualization tools (e.g. Chartio, Looker, Tableau).
  • Ability to approach ambiguous problems in a structured, hypothesis-driven, data-supported way.

Responsibilities

  • Use quantitative analysis and data presentation to understand what drives the business.
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or similar tools.
  • Mentor junior analysts on advanced methods and solutions.
  • Produce recommendations and use statistics to validate findings.
  • Provide insights to help leaders understand marketplace dynamics and trends.
  • Identify levers to move key metrics and propose solutions.
  • Collaborate with engineering to implement, document, and monitor logging.

Skills

Quantitative analysis
Mentoring
Data storytelling
SQL
Python
Experimentation

Education

Bachelor's degree in Math/Statistics/CS or related

Tools

SQL
R
Python
Tableau/Looker

Job description

DoorDash is seeking experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decisions across the company. You will mentor analysts, explore large datasets, and deliver data-driven recommendations across marketing, growth, operations, and marketplace efficiency.

You will build analytics dashboards, conduct experiments, and present insights to product and business leaders.

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