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

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

EvenUp

Senior Data Scientist

Toronto, ON · Remote

$154K - $246K/yr

We're looking for a Senior Data Scientist to work a hybrid schedule, with three days per week in ... Advanced degree in applied mathematics, statistics, actuarial science, economics or a related field.

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Mercor

Software Engineering Expert - AI/ML

Toronto, ON · Remote

CA$60 - CA$75/hr

Software & Data Science Expert Type: Contract Compensation: $60-$75/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical ...

Waabi

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, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

Experience partnering with Data Science and ML teams. * Hands-on experience with AI tools for analytics, automation, and workflow improvement. * Strong data visualization and storytelling skills (e.g ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

... data scientists and other stakeholders to understand business needs and goals Ensuring the AI ... The starting pay range for this remote role is $147,000.00-$245,000.00. This range reflects the ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

Qualifications - Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as Computer ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

Epistemix

Synthetic Population Engineer

Toronto, ON · Remote

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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Showing results 21-40

All JobsData Science 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 Aug 7, 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.

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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

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 August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,767 per year, or $48 per hour.

Lead Data Scientist - Growth & Experimentation

Fullscript

Toronto, ON • Remote

Full-time

Retirement, PTO

Posted 22 days ago

Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

We're hiring a Lead Data Scientist to be the analytics owner for one of Fullscript's fastest-growing segments.

This is a rare shape of role: the scope of a head of analytics with the autonomy of a senior IC. You'll partner directly with the GM, Finance, Product and Commercial leaders to answer the questions that determine where the business invests next. That starts with a deep understanding of who our customers are and how they actually use the product, and it runs through owning the experimentation engine that tests our bets.

The focus for this role is around using analytics to drive performance: understanding results, designing/executing experiments, and telling leadership what's true and what to do about it.

This role is a foundational hire - you'll shape how analytics operates in this segment, with the opportunity to grow the function over time.

What you'll do
  • Own experimentation (the heart of the role). Partner with Product and Commercial teams to design, run, and read growth experiments - from framing the hypothesis and sizing the test to calling the result and pushing the decision. Bring rigor (power analysis, causal inference, guardrail metrics) to a business moving fast.
  • Build the reporting backbone. Own the core dashboards and self-serve tooling the segment runs on, evolving an AI-augmented reporting stack that already automates much of the routine work. Your job is to make performance easy to understand for execs.
  • Generate insight, not just analysis. Break down revenue and margin performance into drivers - volume, mix, pricing, cohort behavior - and proactively tell us where growth is coming from, where it's leaking, and what to do next.
  • Keep the data foundation healthy. Manage the partnership with our central Data Engineering team to make sure the segment's core data models and pipelines support the analytics.
    Sharpen the forecast. Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes.
What you bring to the table
  • 6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference - you've designed and shipped tests that changed business decisions
  • Strong SQL and Python, and comfort working directly in large, imperfect datasets without a support team
  • A track record of operating autonomously: scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision without close management
  • Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language
  • Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin
  • Customer obsession: you instinctively ground analysis in how real practitioners and patients use the product, and treat understanding their behavior as the source of good decisions
  • Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale
Bonus if you have
  • Experience partnering with FP&A or strategic finance teams
  • Experience building metric trees or driver-based performance frameworks
  • Hands-on use of AI tools (LLMs, agents) in your analytics workflow
  • Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI
  • Experience mentoring or managing analysts
What we can offer you
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career
Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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