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Full Time Remote Data Science Jobs in Toronto, ON

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts. * Build analytics ...

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

You'll work closely with microbiome experts and report to the Head of Science to take on data ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

New

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

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Showing results 1-20

Full Time Remote Data Science information

What is the difference between Full Time Remote Data Science vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScienceFull Time Remote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming experienceBachelor's in Data Analysis, Statistics, or related fields; basic analytical skills
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, focused on data interpretation and reporting
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Remote Data Science roles typically require advanced analytical skills, programming, and statistical knowledge, working on complex models. Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. Both roles are remote and industry-specific but differ in technical depth and responsibilities.

Can I work remotely as a full time remote data scientist?

Full-time remote data scientist positions are common in the industry, allowing professionals to work from home or other locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and may involve collaboration via online platforms. Many companies offer remote options for qualified candidates, especially in tech-focused or data-driven organizations.

What are the most commonly searched types of Remote Data Science jobs in Toronto, ON?

The most popular types of Remote Data Science jobs in Toronto, ON are:

What are popular job titles related to Full Time Remote Data Science jobs in Toronto, ON?

For Full Time Remote Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Science jobs in Toronto, ON look for?

The top searched job categories for Full Time Remote Data Science jobs in Toronto, ON are:

Infographic showing various Full Time Remote Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Enterprise Data Science Specialist

Mercor

Toronto, ON • Remote

CA$60 - CA$70/hr

Full-time

Posted 9 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.