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TC
Restaurant Leadership | Management
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- Full-time
Lead, coach, and mentor your team to embrace the Brewhouse values and culture
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District Manager (East Region)
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Sous Chef
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Ingénieur en amélioration continue / Continuous Improvement Engineer
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Bird Hanger
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Added 16 mins ago
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Bird Hanger - Casual Team Member
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DoorDash

Data Scientist, International

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Mar 18, 2027
Experience: 3+ years of experience in data analytics, consulting, or related role
Posting language: English
Posted: Oct 17, 2026

Original job 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.

Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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More about this job

Responsibilities

Use advanced analytics, experiments, reports, and dashboards to uncover business insights and guide product, business, finance, and executive decisions. Measure marketplace dynamics and key business levers, validate findings with statistical methods, and recommend operational changes in collaboration with cross-functional teams.

Requirements

Requires 3 or more years of experience in data analytics, consulting, or a related role, along with structured problem-solving and the ability to lead strategic projects. Candidates should have experience with experimentation and hypothesis testing, proficiency in a programming language such as Python or R, strong SQL and ETL skills, analytics and visualization tools, and experience building statistical or machine learning models.

Skills

Data Analytics
SQL
Python
R
Experimentation
A/B Testing
Causal Inference
Hypothesis Testing
Statistical Modeling
Machine Learning
Data Visualization
ETL
Stakeholder Management
Quantitative Analysis
Cross-Functional Collaboration
Strategic Project Leadership

Benefits

Paid Time Off
Paid Parental Leave
Wellness Benefit
Paid Holidays
Medical Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Basic Life Insurance
RRSP With Employer Match
Mental Health Program
Equity Grants

Visa sponsorship

Not detected in the job text

Keywords

Advanced Analytics
Data Analytics
SQL
Python
R
ETL
A/B Testing
Causal Inference
Hypothesis Testing
Experimentation
Statistical Techniques
Statistical Models
Machine Learning
Classifiers
Regression Models
Analytics Tools
Data Visualization
Dashboards
Quantitative Analysis
Marketplace Dynamics
Supply And Demand
Customer Acquisition
Fraud
Marketing
Marketplace Efficiency
Stakeholder Management
Cross-Functional Collaboration
Operational Strategy
Logistics

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