Data Scientist / Senior Data Scientist

DoorDash DoorDash · Consumer · San Francisco, CA · 331 Analytics

Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. This role involves using quantitative analysis, building full-cycle analytics experiments, reports, and dashboards, mentoring junior analysts, producing recommendations, and collaborating with engineering to implement logging. The role requires expertise in SQL, ETL, A/B Testing, statistical analysis, and analytics & visualization tools, with experience in areas like funnel optimization, user segmentation, and time series analyses.

What you'd actually do

  1. Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  2. Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  3. Work with and mentor junior analysts on how to use more advanced methods and solve challenges
  4. Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
  5. Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends

Skills

Required

  • 2+ years of experience in data analytics, consulting, or related role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Nice to have

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain