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Remote Applied Data Analytics Jobs in Toronto, ON

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine ... Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering ...

Derivative Path

Applied AI Engineer

Toronto, ON · Remote

CA$110K - CA$150K/yr

Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context ... Fully remote * RRSP contribution at 3% * Competitive health benefits T he expected salary for ...

Epistemix

Data Scientist

Toronto, ON · Remote

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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 ... data analysts and solution architects to develop data pipelines to feed our data marketplace ...

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

Write high-quality Python and SQL to support data analysis, model development, prompt engineering ... applied AI solutions in large, complex environments. * Strong foundation in machine learning ...

SGI

Actuarial Analyst (Auto/Property Pricing)

Toronto, ON · On-site +1

CA$74K - CA$132K/yr

Actuarial Modelling & Analytics * Conducts statistical and actuarial analysis on data from multiple ... Ensures that the Health, Safety and Emergency Management Policy is applied in area of ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... analytics, reporting, product capabilities, and AI systems by ensuring that data is trustworthy, accessible, and fit for purpose. This is a fully remote position that offers a competitive salary ...

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All JobsApplied Data Analytics JobsRemote Applied Data Analytics JobsRemote Applied Data Analytics Jobs in Toronto, ON

Remote Applied Data Analytics information

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Toronto, ON?

For Remote Applied Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Applied Data Analytics jobs in Toronto, ON look for?

The top searched job categories for Remote Applied Data Analytics jobs in Toronto, ON are:

Remote Applied Data Analytics jobs near you
Infographic showing various Remote Applied Data Analytics job openings in Toronto, ON as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Science Expert - Fully Remote | Upto $70/hr

Mercor

Toronto, ON • Remote

CA$70/hr

Full-time

Posted 6 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Science and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.