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5,528

Data Analysis jobs in Canada

Senior Machine Learning Engineer - Growth

DoorDash Canada

Toronto
On-site
CAD 120,000 - 232,000
22 days ago
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Information Systems Specialist — Optimize IT & SDLC

GreenTech Resources Worldwide Canada

Town of Stettler
On-site
CAD 80,000 - 100,000
22 days ago

Economic Policy Researcher & Economist - Full-Time

GreenTech Resources Worldwide Canada

Humboldt
On-site
CAD 65,000 - 85,000
22 days ago

IT Systems Specialist: Design, Improve & Secure IT

GreenTech Resources Worldwide Canada

Town of Stettler
On-site
CAD 80,000 - 100,000
22 days ago

Mathematicians, Statisticians & Actuaries: Forecasting

GreenTech Resources Worldwide Canada

Town of Stettler
On-site
CAD 60,000 - 80,000
22 days ago
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MSG-3 Maintenance Expert — Aerospace Systems & Leadership

Cessna Aircraft Company

Mirabel
On-site
CAD 80,000 - 100,000
22 days ago

Consultant en audit de performance — impact et flexibilité

Mallette S.E.N.C.R.L.

Trois-Rivières
Hybrid
CAD 70,000 - 90,000
22 days ago

Architecte de l’écoute et de l’engagement des employés

KPMG LLP Canada

Toronto
Hybrid
CAD 55,000 - 82,000
22 days ago
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Senior Admin Assistant: Data & Travel Ops (Lodging)

Bedard Resources

Toronto
On-site
CAD 60,000 - 80,000
22 days ago

Conseiller en Audit de Performance — Optimisation & Impact

Mallette S.E.N.C.R.L.

Quebec
Hybrid
CAD 60,000 - 80,000
22 days ago

Operations Finance Analyst - Manufacturing FP&A & Analytics

FGF Brands

Canada
On-site
CAD 60,000 - 80,000
22 days ago

Community Paramedicine Programs Lead & Research Analyst

Thunder Bay

Northwestern Ontario
On-site
CAD 60,000 - 80,000
22 days ago

Lead Full-Stack Data Engineer — ETL & Insights

Chord Strategy

Vancouver
Remote
CAD 80,000 - 100,000
22 days ago

Automotive Quality Engineer — Data-Driven Improvement

Porter Engineered Systems

Windsor
On-site
CAD 75,000 - 90,000
22 days ago

Remote App Growth & Acquisition Specialist

App Growth Network

Vancouver
Remote
CAD 60,000 - 80,000
22 days ago

Senior Marketing Associate, Retention

CSC Generation

Toronto
Hybrid
CAD 80,000 - 100,000
22 days ago

Senior Manager, HR Integration & Transformation

High Street Insurance Partners

Vancouver
Hybrid
CAD 90,000 - 120,000
22 days ago

2027 Graduate Program : Department of Housing and Works

Various

Southwestern Ontario
Hybrid
CAD 79,000 - 86,000
22 days ago

Concepteur d'expériences d'apprentissage / Learning Experience Designer

Genetec

Quebec
On-site
CAD 65,000 - 85,000
22 days ago

Senior Data Scientist, Algorithm (Relo to SF)

Airwallex

Toronto
On-site
CAD 80,000 - 120,000
22 days ago

Développeur(euse) logiciel (stockage) / Software Developer (Storage)

Genetec

Quebec
On-site
CAD 70,000 - 90,000
22 days ago

Program Coordinator, LEGHO - Temporary, Full-time

VON Canada (Ontario)

St. Thomas
On-site
CAD 30,000 - 60,000
22 days ago

Senior AI Engineer

Deck Software

Canada
On-site
CAD 100,000 - 130,000
22 days ago

Administrative Assistant I, Branch Operations - Part-time 0.5

VON Canada (Ontario)

Northwestern Ontario
On-site
CAD 30,000 - 60,000
22 days ago

Physiotherapists NOC 31202 Jobs In-Demand *APPLY FOR FUTURE OPPORTUNITIES*

GreenTech Resources Worldwide Canada

Regina
On-site
CAD 60,000 - 80,000
22 days ago

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Senior Machine Learning Engineer - Growth
DoorDash Canada
Toronto
On-site
CAD 120,000 - 232,000
Full time
22 days ago

Job summary

A leading logistics company based in Toronto is seeking an experienced Machine Learning Engineer to develop advanced ML models that drive pricing and consumer solutions. You'll collaborate with engineering and product teams to enhance pricing strategies and marketplace growth. The role offers a competitive salary ranging from $120,000 to $231,500 CAD, with a comprehensive benefits package including health insurance and equity grants.

Benefits

Paid time off
Paid parental leave
Wellness benefits
Medical, dental, and vision benefits

Qualifications

  • 6+ years of industry experience developing and leading advanced machine learning initiatives.
  • Experience with statistics, causal inference, multi-objective optimization, or deep learning preferred.

Responsibilities

  • Develop ML-driven systems ensuring DoorDash pricing remains affordable and fair.
  • Create AI solutions that optimize deals and promotions for relevancy and efficiency.
  • Partner with engineering and product leaders to shape product roadmaps.

Skills

Production-level machine learning expertise
Exceptional written and verbal communication skills
Technical expertise in Python
Technical expertise in Spark
Technical expertise in PyTorch

Education

M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or another quantitative field
Job description

Toronto, ON

About the Team

Come help us build the world's most reliable on-demand logistics engine for last-mile delivery! We're seeking an experienced machine learning engineer to develop cutting-edge ML models that power DoorDash's pricing, selection, affordability, and growth strategies.

About the Role

We're looking for a passionate Machine Learning expert to join our team. You'll leverage our robust data and machine learning infrastructure to build sophisticated ML systems that implement innovative AI solutions for consumer pricing, restaurant selection expansion, promotions (deals) optimization, and marketplace growth. You'll need to demonstrate strong production-level machine learning expertise while collaborating with multi-disciplinary teams to set strategy and drive business growth.

You're excited about this opportunity because you will
  • Develop ML-driven systems that ensure DoorDash pricing remains affordable and fair across all restaurant selections and occasions
  • Create AI solutions that optimize deals and promotions for relevancy and efficiency, intelligently adapting to evolving consumer ordering behaviors
  • Partner with engineering and product leaders to shape product roadmaps through AI/ML innovations
  • Own the complete modeling lifecycle from feature creation through deployment, experimentation, monitoring, explainability, and maintenance
We're excited about you because you have
  • 6+ years of industry experience developing and leading advanced machine learning initiatives with measurable business impact and production-deployed solutions
  • M.S. or Ph.D. in Statistics, Computer Science, Mathematics, Operations Research, Physics, Economics, or another quantitative field
  • Exceptional written and verbal communication skills
  • Strong technical expertise in Python, Spark, and PyTorch for machine learning applications
  • Experience with statistics, causal inference, multi-objective optimization, or deep learning (preferred)
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.

$120,000 - $150,000 CAD

$149,500 - $187,000 CAD

$185,000 - $231,500 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 with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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