Home › Companies › DoorDash › Data Scientist, International
Data Scientist, International
DoorDash · Toronto, ON · Remote · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | DoorDash |
| Title | Data Scientist, International |
| Normalized title | - |
| Department / team | 331 Analytics |
| Location | Toronto, ON, Canada |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2025-04-23 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from DoorDash. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Toronto. | Open |
| Department jobs | Active postings in 331 Analytics. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | DoorDash |
| Source | 572baf7e-e52b-474b-b846-4057073da6cd |
| ATS provider | Greenhouse |
Description
About the Team
The Analytics team is looking for Data Analysts and Data Scientists 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.
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...)
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
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 About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Full job record
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| Board ID | 572baf7e-e52b-474b-b846-4057073da6cd |
| Provider | greenhouse |
| Provider Job Key | 6827862 |
| Title | Data Scientist, International |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Toronto, ON |
| Department | 331 Analytics |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Canada |
| Region | ON |
| City | Toronto |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/doordashcanada/jobs/6827862 |
| Apply URL | https://job-boards.greenhouse.io/doordashcanada/jobs/6827862 |
| First Seen At | 2026-05-29 22:40:58Z |
| Last Seen At | 2026-06-06 20:25:04Z |
| Last Checked At | 2026-06-06 20:25:04Z |
| Last Changed At | 2026-06-06 07:33:14Z |
| Inactive At | — |
| Source Posted At | 2025-04-23 17:23:34Z |
| Source Updated At | 2026-06-04 20:49:57Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=doordashcanada/date=2026-06-06/2026-06-06T20-25-04-086Z-01d1ee1fdb8dccff6485df9ba3fa49a0c26ca3a5e6c3940c03cfe203fc64b553.json |
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