Data Scientist

2+ years of experience in data analytics, consulting, or related quantitative role

Experience leading /owning strategic projects to completion with multiple cross-functional teams

Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing

Proficiency in at least one programming language, preferably Python or R

Very experienced with SQL queries, Basic ETL, Regression techniques

Proficiency in one or more analytics & visualisation tools

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change.

just about building Machine Learning models and putting them into production.

This is a rare operational and actionable data-driven experience.

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more.

If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash

The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!