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Remote Data Science Jobs in Ontario (NOW HIRING)

Omnissa

CA$146K - CA$304K/yr

Lead the design and development of advanced data science and machine learning analytics models using structured, unstructured and semi-structured data. * Work with engineers to design and implement ...

Inizio Partners

Data Engineer

Toronto, ON · Remote

Remote Job Summary: We're looking for a Senior Data Engineer with strong data platform experience ... Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a ...

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

We'd love to work with you if you have: * 5+ years of experience delivering data science, machine learning, or applied AI solutions in large, complex environments. * Strong foundation in machine ...

MCKESSON

Sr. Data Scientist

Mississauga, ON · On-site +1

Degree or equivalent and typically requires 7+ years of relevant experience Business Experience * 7+ years of hands-on data science experience delivering models to production with measurable business ...

McKesson

Sr. Data Scientist

Mississauga, ON · On-site +1

Degree or equivalent and typically requires 7+ years of relevant experience Business Experience * 7+ years of hands-on data science experience delivering models to production with measurable business ...

McKesson

Sr. Data Scientist

Mississauga, ON · On-site +1

Degree or equivalent and typically requires 7+ years of relevant experience Business Experience * 7+ years of hands-on data science experience delivering models to production with measurable business ...

MCKESSON

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

McKesson

Senior Data Scientist

Mississauga, ON · On-site +1

CA$89K - CA$149K/yr

Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills * 7+ years of professional experience in progressively advancing data science and applied AI/ML roles

McKesson

Senior Data Scientist

Mississauga, ON · On-site +1

CA$89K - CA$149K/yr

Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills * 7+ years of professional experience in progressively advancing data science and applied AI/ML roles

MCKESSON

Senior Data Scientist

Mississauga, ON · On-site +1

CA$89K - CA$149K/yr

Degree or equivalent and typically requires 7+ years of relevant experience Critical Skills * 7+ years of professional experience in progressively advancing data science and applied AI/ML roles

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All JobsRemote Data Science JobsRemote Data Science Jobs in Ontario

Remote Data Science information

See Ontario salary details

$23.5K

$104.5K

$199.5K

How much do remote data science jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote data science in Ontario is $104,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $145,000.00 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 Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Remote Data Science jobs in Ontario? For Remote Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Ontario look for? The top searched job categories for Remote Data Science jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Science jobs? Cities in Ontario with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Ontario as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 29% Part Time, 4% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $104,540 per year, or $50.3 per hour.

Freelance Data Scientist, ad hoc

Klick Health

Toronto, ON • Remote

Full-time

Posted 10 days ago

Job description

Company Description

The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.

About our Consulting Craft
Our Consulting Craft partners with clients on complex business and transformation challenges. The team applies strategic rigor to real-world problems. They help organizations navigate change with clarity and confidence. Their work drives meaningful, long-term impact.

Job Description

As a Freelance Data Scientist, this role supports Klick Consulting by converting complex healthcare, commercial, and marketing data into clear narratives and practical recommendations for clients. The role partners with data scientists, strategists, consultants, and senior stakeholders to define business questions, select appropriate methods, execute analyses, and communicate findings. This freelance position is based in Ontario, is 100% remote, and does not require travel.

Employment type: freelance
Target hours: ad hoc, 20 hours per week, more if possible

What You’ll Do

  • Design data science approaches that balance client business goals with statistical, technical, and data constraints.
  • Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub.
  • Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling.
  • Translate technical findings into clear data stories, visualizations, and client-ready recommendations for cross-functional stakeholders.
  • Support and own experimental design, data analysis workstreams, and documentation  across consulting engagements.
Qualifications

Required:

  • Undergraduate degree in a computational, scientific, or health-related field, e.g., statistics, mathematics, bioinformatics.
  • Demonstrated experience analyzing structured or unstructured data, including observable understanding of bias, error, confounding, power, and significance.
  • Hands-on experience using Python data analysis tools such as NumPy, pandas, matplotlib, or scikit-learn, plus SQL for data extraction or analysis.
  • Working familiarity with git, GitHub, and command-line workflows to document and collaborate on analysis scripts.
  • Experience translating technical analysis into written or verbal recommendations for cross-functional stakeholders.
  • Ability to independently scope, execute, and explain smaller analysis workstreams, while collaborating with data scientists,  consultants, and strategists on larger projects.
  • Practical experience using AI tools to accelerate technical work, including validation, maintainability, and reliability.
  • Comfortable working with ambiguous or evolving business questions, making assumptions explicit, and adapting to new context.

Desired:

  • 3+ years of professional experience in analytics, data science, or applied research outside a purely academic context.
  • Experience analyzing real-world data (RWD), e.g., healthcare administrative claims, EHR data, or clinical outcomes.
  • Familiarity with AWS, Google Cloud Platform, Microsoft Azure, or other cloud-based analytics environments.
  • Graduate degree in data science, statistics, bioinformatics, or a related quantitative field.
  • Experience applying advanced analytic methods and technologies to answer business or clinical questions, such as natural language processing, hierarchical Bayesian modeling, Markov chain Monte Carlo, and generative AI.

Additional Information

This posting is for a newly created role at Klick.

The base hourly rate for this position is between CAD $40/hour to $45/hour. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience. 

#LI-Remote #LI-ML1

Our Commitment to Inclusion
Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.