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Data Analyst Remote jobs in Canada

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Halifax
Hybrid
CAD 100,000 - 125,000
30+ days ago
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Senior Data Scientist - Hybrid/Remote, Lead Data & ML

Geotab

Oakville
Hybrid
CAD 90,000 - 130,000
30+ days ago

Remote ML Ops Data Scientist for Logistics AI

Toparo

Montreal
Hybrid
CAD 80,000 - 100,000
30+ days ago

Senior Data Scientist Lead — AI/ML & Mentoring (Remote)

LexisNexis

Oro-Medonte
On-site
CAD 90,000 - 130,000
30+ days ago

Principal Data Scientist I

LexisNexis

Oro-Medonte
On-site
CAD 90,000 - 130,000
30+ days ago
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Data Engineer

Two95 International Inc.

Canada
On-site
CAD 60,000 - 80,000
30+ days ago

Remote Data Engineer: Scalable Pipelines & Insights

HireTalent

Toronto
Hybrid
CAD 80,000 - 100,000
30+ days ago

Data Engineer

HireTalent

Toronto
Hybrid
CAD 80,000 - 100,000
30+ days ago
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Senior Data Engineer, Healthcare Analytics (Remote Canada)

UnitedHealth Group

Vancouver
On-site
CAD 75,000 - 158,000
30+ days ago

AWS Data Engineer

TEEMA

Markham
On-site
CAD 80,000 - 130,000
30+ days ago

OPEN: Senior Data Engineer

Cpus Engineering Staffing Solutions Inc.

Pickering
Hybrid
CAD 90,000 - 120,000
30+ days ago

Data Engineer

Wysdom

Canada
Remote
CAD 85,000 - 120,000
30+ days ago

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Principal Machine Learning Engineer, Recommendation Systems
Launch Potato
Halifax
Hybrid
CAD 100,000 - 125,000
Full time
30+ days ago

Job summary

A leading tech company is seeking a Principal Machine Learning Engineer to define their personalization strategy. The role requires over 10 years of experience in deploying large-scale machine learning systems. Candidates should excel in ML domains such as deep learning and causal models. Join a diverse team committed to innovation and impact.

Qualifications

  • 10+ years designing, developing, and deploying ML systems focused on personalization.
  • Proven experience in large-scale machine learning with significant impact.

Responsibilities

  • Establish the technical vision for personalization, solving ML challenges.
  • Define company-wide ML strategy and architecture across teams.
  • Design advanced ML solutions using cutting-edge techniques.

Skills

Expertise building ML systems with large-scale personalization
Industry expertise through patents or publications
Architecting ML platforms
0→1 innovation in personalization
Mastery in deep learning, causal inference, and bandit algorithms
Job description
Principal Machine Learning Engineer, Recommendation Systems

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:

  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

EXPERIENCE: 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

YOUR ROLEEstablish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.

OUTCOMES

  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
  • Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
  • Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems

COMPETENCIES

  • Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
  • Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
  • Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
  • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
  • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
  • External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
  • Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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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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