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

Mercor

Software Engineer - Data Science

Toronto, ON · Remote

CA$90 - CA$110/hr

Software & Data Science Expert Type: Contract Compensation: $90-$110/hour Location ... Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over ...

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 ...

Ontario Teachers' Pension Plan

Data Scientist

Toronto, ON · On-site +1

Machine learning, data science, AI engineering, or applied analytics experience in industry or an ... A flexible work environment combining in office collaboration and remote working * Competitive time ...

Ontario Teachers

Data Scientist

Toronto, ON · On-site +1

Machine learning, data science, AI engineering, or applied analytics experience in industry or an ... A flexible work environment combining in office collaboration and remote working * Competitive time ...

Td

Data Scientist III

Toronto, ON · Remote

CA$96K - CA$136K/yr

Qualifications * 5+ years of experience in data science or advanced analytics, with ownership of complex, high-impact initiatives. * Degree in quantitative discipline (e.g., AI, data science ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems. * Mentor and develop ...

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

Remote Data Science information

See Toronto, ON salary details

$22.4K

$99.8K

$190.4K

How much do remote data science jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data science in Toronto, ON is $99,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,534.00 and $138,379.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What are popular job titles related to Remote Data Science jobs in Toronto, ON? For Remote Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Toronto, ON look for? The top searched job categories for Remote Data Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Data Science jobs? Cities near Toronto, ON with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Toronto, ON as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $99,767 per year, or $48 per hour.

Software Engineer - Data Science

Mercor

Toronto, ON • Remote

CA$90 - CA$110/hr

Full-time

Posted 3 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: Software & Data Science Expert
Type: Contract
Compensation: $90–$110/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Author tasks to test AI reasoning over technical documentation.
  • Evaluate AI models on professional document understanding.
  • Develop complex, multi-step requests with real-world workspace files.
  • Ensure tasks follow precise instructions and produce accurate outputs.
  • Use objective evaluation rubrics for task assessment.
  • Work independently and asynchronously to meet deadlines.

Qualifications

Must-Have

  • 3+ years of experience in software engineering or data science & analytics.

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.