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Remote Data Science Physics Jobs in Toronto, ON (NOW HIRING)

Mercor

Enterprise Data Science Specialist

Toronto, ON · Remote

CA$60 - CA$70/hr

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

Mercor

Data Science Expert - AI Evaluation

Toronto, ON · Remote

CA$120 - CA$170/hr

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 ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

... Science, Physics, or Robotics.- Strong command of Python/SQL for data analysis and prototyping - Expertise in statistical methods, including hypothesis testing, A/B testing on complex systems ...

Epistemix

Data Scientist

Toronto, ON · Remote

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 ...

Mercor

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 ...

Mercor

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 ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

... Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar. - Strong command of SQL, and ...

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All JobsData Science Physics JobsRemote Data Science Physics JobsRemote Data Science Physics Jobs in Toronto, ON

Remote Data Science Physics information

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

Can I get a remote data science physics job with a physics degree?

A physics degree can qualify you for remote data science physics roles, especially if you have skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL. Many employers value strong analytical and problem-solving skills, and remote positions often require proficiency in collaboration platforms and self-motivation. Additional certifications or experience in machine learning or data engineering can enhance your prospects in this field.

Can I work remotely as a data scientist?

Remote data science positions are common in the industry, allowing professionals to work from various locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and often involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for data scientists.

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

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

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

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

Remote Data Science Physics jobs near you
Infographic showing various Remote Data Science Physics job openings in Toronto, ON as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Enterprise Data Science Specialist

Mercor

Toronto, ON • Remote

CA$60 - CA$70/hr

Full-time

Posted 7 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.