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Remote Data Scientist Jobs in Quebec (NOW HIRING)

... data science, AI, engineering innovation, and IoT. Our customers include the world's leading public ... With almost every team remote by default, Canonical sets the pace on the 21st-century digital ...

University degree in Computer Science, Mathematics and/or similar * SQL knowledge and experience in reporting * Data analytics and statistics courses and diplomas * Knowledge or previous experience ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible work ...

... 100% Remote - Excellent working conditions *** Reporting to the VP of Technology, you will collaborate with teams across software engineering, data science, regulatory, security, and external ...

Showing results 41-60

Remote Data Scientist information

See Quebec salary details

$82.5K

$153.1K

$225.5K

How much do remote data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data scientist in Quebec is $153,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $178,000.00 per year, depending on experience, location, and employer.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Quebec?

The most popular types of Data Scientist jobs in Quebec are:

What are popular job titles related to Remote Data Scientist jobs in Quebec?

For Remote Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Quebec look for?

The top searched job categories for Remote Data Scientist jobs in Quebec are:

What cities in Quebec are hiring for Remote Data Scientist jobs?

Cities in Quebec with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $153,137 per year, or $73.6 per hour.

Software Engineer - App Stores

Canonical

Montreal, QC โ€ข On-site, Remote

Full-time

Re-posted 12 days ago


Job description

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for an exceptional software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing international software company.

Canonical's Store team develops and operates a large system of backend services that power the Snap Store and Charmhub.io marketplaces. Our services are built primarily in Python, with a bit of Golang.

We have some exciting challenges ahead including continuing to scale our production architecture, significantly expanding the range of software we can deliver through the system powering our marketplaces, and enhancing our offering for the booming world of IoT and for large Enterprise solutions.

If you have a passion for clean APIs, have a bias towards shipping, and believe that automated tests are the key to higher velocity and reliability, you'll fit right in.

What you'll do
  • Collaborate remotely with a globally distributed team.
  • Write clean web service APIs to support both CLI and web frontend clients, using Python (and optionally Golang).
  • Design and implement new features and enhancements from spec to production and ongoing operations at scale.
  • Review code and technical designs produced by other engineers.
  • Discuss ideas and collaborate on finding good solutions.
  • Work remotely with global travel for 2 to 4 weeks for internal and external events.
Who you are
  • You have demonstrated professional proficiency in developing public-facing APIs and web applications using Python.
  • You have a broad technology base but favour backend code and infrastructure.
  • You know your way around relational and non-relational databases and can effectively design data models that perform well, and tune queries to access them.
  • You are comfortable with Ubuntu as a development and deployment platform.
  • You have demonstrated strong academic performance in Computer Science, STEM or a similar degree.
  • You love technology and working with a diverse set of talented people.
  • You are curious, flexible, articulate, and accountable.
  • You value soft skills and are passionate, enterprising, thoughtful, and self-motivated.
About Canonical

Canonical is a growing, international software company that works with the open-source community to deliver Ubuntu -- the world's #1 cloud operating system. Our mission is to realise the potential of free software in the lives of individuals and organisations. Our services are helping businesses worldwide to reduce costs, improve efficiency and enhance security with Ubuntu. Canonical is a unique tech company - global, remote-first, open source, with 700 professionals across 50 countries - we want to be the world's best, not biggest, global software company. With almost every team remote by default, Canonical sets the pace on the 21st-century digital workplace.

What Canonical offers:

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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