Data Scientist / Senior Data Scientist

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)

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!

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

Produce recommendations and use statistical techniques and hypothesis testing to validate your findings

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.