Data Scientist – Analytics
DoorDash, Inc.
Data Scientist – Analytics, DoorDash, Inc., Sunnyvale, CA. Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business. Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools. 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 your 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. Work backwards from understanding and sizing problems to ideating solutions. Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress. Collaborate with engineering to implement, document, validate, and monitor our logging. Participate in any company-wide training programs (WeDash, etc.). Telecommuting Permitted. (DS-S-102-SV).
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary Range: $211,536.00 - $268,200.00/yr.
MINIMUM REQUIREMENTS:
Master’s degree, (or foreign equivalent) in Data Science, Physics, Mathematics, Statistics, Economics, Business Analytics or closely related quantitative discipline plus two (2) years of experience in the field of data science, business/data analytics, consulting, or related quantitative field.
In the alternative, employer will accept a Bachelor's degree (or foreign equivalent) in Data Science, Physics, Mathematics, Statistics, Economics, Business Analytics or closely related quantitative discipline plus five (5) years of progressive, post-bachelor's experience in the field of data science, business/data analytics, consulting, or related quantitative field.
Qualifying experience must include the following skills (which may be gained concurrently):
• Python;
• SQL queries;
• ETL and A/B Testing;
• Airflow or Pyspark;
• Data structure & algorithm;
• Analytics and visualization tools (such as Chartio, Looker or Tableau);
• Clustering;
• Regression;
• Classification; and,
• Exploratory data analysis (EDA).
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 DS-S-102-SV to be considered.