Computer Jobs dot IT Jobs dot San Francisco Bay Area Jobs dot Employment Search

San Francisco Bay Area logo SF Bay Area Computer Jobs and IT Jobs

Previous Page

Data Scientist, Analytics (Multiple Positions)

Location: San Francisco (San Francisco)         posted: 07.08.24

Data Scientist, Analytics (Multiple Positions), DoorDash, Inc., San Francisco, CA. Use quantitative analysis and the presentation of data to see beyond the numbers and understand business drivers; build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools; and work alongside and mentor junior analysts on how to use more advanced methods and solve challenges. Produce recommendations and use statistical techniques and hypothesis testing to validate findings; provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends. Identify and measure levers to help move essential metrics and make recommendations. Sizing problems to ideating solutions, report against goals by identifying essential metrics and building executive-facing dashboards to track progress, and collaborate with engineering to implement, document, validate, and monitor our logging. Telecommuting Permitted. (DSA-B-103-SF)

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $137,500 - $185,500/yr. 

MINIMUM REQUIREMENTS:

Bachelor's degree (or foreign equivalent) in Data Science, Engineering, Physics, Mathematics, Statistics, Analytics or closely related quantitative discipline and one (1) year of experience in the field of data science or business / data analytics.

Qualifying experience must include at least five (5) of the following skills (which may be gained concurrently):

  • Forecasting methodologies such as funnel optimization, user segmentation, cohort analyses, time series analyses, or regression models;
  • SQL database queries;
  • ETL;
  • A/B Testing;
  • Statistical analysis including hypothesis testing, experimentation, or regressions using statistical packages such as Matlab, R, SAS or Python;
  • Business Intelligence (BI) or analytics & visualization tools such as Chartio, Looker, Tableau;
  • Machine learning;
  • Performing simulation.

Up to 10% travel (domestic and/or international) based on business need.

To apply, please send resumes to workwithus@doordash.com. Must reference job code DSA-B-103-SF to be considered.

Report Problem

Terms of Use