Data Scientist / Senior Data Scientist
DoorDash · San Francisco, CA | Seattle, WA | New York City, NY | Los Angeles, CA | Chicago, IL | Austin, TX | Washington, DC · 331 Analytics
About this role
DoorDash is hiring a senior-level Data Scientist based in San Francisco, CA | Seattle, WA | New York City, NY | Los Angeles, CA | Chicago, IL | Austin, TX | Washington, DC. The posting calls out experience with Python, R, SQL, Tableau and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $124,100–$182,500 per year.
- Role
- Data Scientist
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | Seattle, WA | New York City, NY | Los Angeles, CA | Chicago, IL | Austin, TX | Washington, DC
- Experience
- 2+ years
- Education
- Bachelor's degree
- Department
- 331 Analytics
More roles at DoorDash
Job description
from DoorDash careers
The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.
Please apply here for all non-managerial levels within the following analytics teams:
- Consumer & Growth
- Business Operations
- Dasher & Logistics
- Customer Experience & Integrity
- Merchant, Ads & Sales
- New Verticals
- International Data Science
As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
You're excited about this opportunity because you will…- 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