About the Team
Data Analysts and Data Scientists will guide measurement, strategy, and tactical decision‑making using advanced analytics approaches as we expand our logistics platform across the globe.

Data Scientists at DoorDash uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

About the Role
Data Science at DoorDash involves diving deeper into data to solve crucial business problems, ideating and running experiments, and working with cross‑functional teams to drive real‑world operational change. It is not just about building machine learning models and putting them into production.

We solve challenges from all three sides of the marketplace: customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, building a market from 0 to 1, and have experience using analytics to affect revenue, growth or operations, we want you.

You’re excited about this opportunity because you will…

Be a first‑class thought partner to product, business, finance and executive teams, helping them decide next steps for DoorDash

Use quantitative analysis and data presentation to see beyond numbers and understand what drives the business

Build full‑cycle analytics experiments, reports and dashboards using SQL, Python, R or other statistical tools

Produce recommendations and use statistical techniques, hypothesis testing and experimentation to validate findings

Provide insights to enable cross‑functional teams 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 and collaborate effectively with strategy, operations, product, finance and engineering to set priorities





Be excited to travel to meet business partners and teams in each market

We’re excited about you because…

3+ years of experience in data analytics, consulting, or a 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 or 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 and visualization tools

Experience building and training statistical or machine learning models (classifiers, regression models…)

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

In addition to base salary, this role includes equity grants. Discuss details with a recruiter.

Benefits include paid time off, paid parental leave, wellness benefits, several paid holidays, medical, dental, vision, disability and basic life insurance, an RRSP with employer match, and a mental health program.

Pay ranges by level and region (British Columbia):

Grade I4: $114,000—$142,500 CAD

Grade I5: $142,000—$177,500 CAD

Grade I6: $176,000—$220,000 CAD

About DoorDash
DoorDash’s mission is to empower local economies. We are a technology and logistics company that started with door‑to‑door delivery and now serves a broad range of goods. We grow rapidly and give team members the chance to innovate, solve challenges and own their careers.

Our Commitment to Diversity and Inclusion
We are dedicated to building an inclusive community and hiring diverse teams. We believe true innovation occurs when everyone has a seat at the table.

If you need accommodations, let your recruiting contact know early.

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📌 Data Scientist, International (Ontario)
🏢 DoorDash
📍 Ontario