Discover Remote Data Scientist Jobs in Canada

Explore the best opportunities to work remotely as a Data Scientist in Canada. Whether you prefer the comfort of your home or any location you choose, our platform offers the latest job listings from leading remote companies.

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Latest Data Scientist Jobs in Canada (4)

Senior Data Scientist - Ad Intelligence

Canada, Worldwide

Company: Sensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy.

Remote policy: Sensor Tower has a flexible remote work policy. The company hires remotely from the United States, Europe, and various regions globally.

Senior Manager - Fundraising Data & Analytics

Wikimedia Foundation

Canada, Worldwide

$145,000 to $224,000 per year

Remote policy: The Wikimedia Foundation has a flexible remote work policy, allowing employees to work from anywhere. The company hires remotely from the United States, Europe, and various other regions worldwide.

AI Research Scientist (Sequential Decision Making)

Canada, United Kingdom, Ireland, Norway, Spain, Italy, Portugal

$171,000 to $185,000 per year

Company: Phaidra is an artificial intelligence as a service company specializing in providing autonomous, self-learning AI control systems for the data center and industrial facilities to make the industrial sector radically more resource-efficient.

Remote policy: Phaidra has a flexible remote work policy, allowing employees to work from anywhere. Phaidra hires remotely from various regions.

Sr. Data Scientist - Compliance Tech

Canada, Worldwide

$135,000 to $203,000 per year

Company: Kraken is a bitcoin, cryptocurrency, and digital asset exchange that provides spot and futures trading between Bitcoin, Ethereum, and 40+ other digital assets.

Remote policy: Kraken has a flexible remote work policy, allowing employees to work from anywhere. No information is available regarding the countries or regions from which the company hires remote workers.

Key requirements: 5+ years of industry experience; Python; SQL; statistics; machine learning; containerization; CI/CD