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Remote Data Science Jobs in Ontario (NOW HIRING)

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

  • PTO

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

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

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

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

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

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

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/Lead Data Scientist

Mississauga, ON · On-site +1

Business Experience - * 7+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

Business Experience - * 7+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.

Td

Data Scientist II

Markham, ON · On-site +1

CA$81K - CA$115K/yr

  • Medical

  • Retirement

  • PTO

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent * Ability to communicate strategy analysis to both technical and non-technical team members * Undergraduate ...

Td

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

  • Medical

  • Retirement

  • PTO

In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent * Ability to communicate strategy analysis to both technical and non-technical team members * Undergraduate ...

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 with ... Data Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

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 ...

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

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 ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

  • Retirement

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 ...

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Showing results 21-40

All JobsData Science 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 Aug 15, 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.

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,540 per year, or $50.3 per hour.

Data Scientist, International

DoorDash Canada

Toronto, ON • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

About the Team

The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will...
  • Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
  • Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
  • Be excited to travel to meet with business partners and the teams in each market
We're excited about you because... 
  • 3+ years of experience in data analytics, consulting, or related role
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
  • Proficiency in at least one programming language (Python, R,...)
  • Expertise with SQL queries, ETLs, etc... 
  • Proficiency in one or more analytics & visualization tools
  • Experience building and training statistical and machine learning models (classifiers, regression models...)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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