About the Role

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. It is NOT 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, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, 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!
You're excited about this opportunity because you will...

• 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
• 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, Python, R, or other scripting and statistical tools
• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
• Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
• Be excited to travel to meet with business partners and the teams in each market

We're excited about you because...

• 3+ years of experience in data analytics, consulting, or related role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• The determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
• Proficiency in at least one programming language (Python, R,...)
• Expertise with SQL queries, ETLs, etc...
• Proficiency in one or more analytics & visualization tools
• Experience building and training statistical and machine learning models (classifiers, regression models...)

Compensation

Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and several paid holidays.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, an RRSP including an employer match, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within British Columbia.

I4

$114,000-$142,500 CAD

I5

$142,000-$177,500 CAD

I6

$176,000-$220,000 CAD