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Remote Data Science Jobs in Ontario (NOW HIRING)

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

C++ Developer

Ottawa, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

C++ Developer

Kitchener, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

C++ Developer

Kitchener, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

C++ Developer

Ottawa, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

C++ Developer

Waterloo, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

C++ Developer

Waterloo, ON · On-site +1

  • Medical

  • Dental

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ... Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits

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 ...

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Showing results 41-60

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.

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:

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.

Manager, Data Modernization & Intelligence, Deloitte Global Technology

Deloitte

Toronto, ON • On-site, Remote

CA$85K - CA$156K/yr

Full-time

Life, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Job Type: Permanent 
Work Model: 
Remote 
Reference code: 
133812   
Primary Location: 
Toronto, ON  
All Available Locations: 
Toronto, ON; Burlington, ON; Ottawa, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching

Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.

What will your typical day look like?

The Manager, Data Modernization & Intelligence will be responsible for the operational execution of data modernization and intelligence projects within the communications and collaboration domain. This role will manage the implementation of data governance policies, oversee data analysis and reporting, and ensure the effective utilization of M365 Copilot and other GenAI tools. They will work closely with the Sr. Manager to translate strategic initiatives into actionable plans and ensure successful project delivery.


Responsibilities:


• Support the testing, validation, and rollout of GenAI capabilities, including Microsoft 365 Copilot, Gemini, and Claude, and related features across collaboration workloads.
• Evaluate how AI features interact with enterprise data environments, ensuring alignment with data handling, retention, and classification requirements.
• Execute end-to-end data lifecycle validation, including data ingestion, transformation, storage, access, and output behaviors within M365 and connected systems.
• Partner with engineering, governance, and platform teams to identify risks, gaps, and inconsistencies in data usage across AI-enabled scenarios.
• Contribute to controlled testing frameworks, including scenario-based validation, defect tracking, and repeatable test design.
• Support the development of technical documentation, SOPs, and governance-aligned guidance for AI-enabled capabilities.
• Provide technical troubleshooting and analysis for issues related to AI feature behavior, data inconsistencies, and platform integration.
• Perform targeted analysis and reporting to support decision-making, with emphasis on data integrity and trend validation rather than standalone reporting deliverables.

About the team

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Enough about us, let’s talk about you

• Bachelor's degree in Computer Science, Information Management, Data Science, or a related field.
• Minimum 5+ years of experience in data management, analytics, or related fields, with a focus on communications and collaboration.
• Hands-on experience with GenAI tools and platforms, including exposure to enterprise AI capabilities.
• Experience implementing data governance policies and procedures within the M365 ecosystem.
• Strong knowledge of MS Purview and its configuration.
• Experience with data analysis and reporting tools.
• Project management experience.
• Excellent communication and collaboration skills.
• Experience with M365 administration.
• Strong understanding of data lifecycle management concepts, including data ingestion, processing, storage, access, and retention.
• Experience with data validation, testing, and quality assurance in enterprise environments.
• Working knowledge of data governance concepts, including classification, sensitivity, and compliance considerations.
• Ability to analyze AI-driven outputs and system behaviors, identify inconsistencies, and escalate findings clearly.

Total Rewards


The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.


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