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Statistical Analyst Remote Jobs in Toronto, ON (NOW HIRING)

We build cutting-edge software and industry standards to help researchers and clinicians analyze ... Statistical and visualization skills for exploring -omics datasets * Experience with biological ...

Oversee protocol development, statistical analysis plans, and data collection frameworks * Manage ... Remote-first, real overlap Our FTEs are based in North America and work core hours from 9am-6pm CST ...

Real Estate Valuation Consultant

Toronto, ON · On-site +1

CA$50K - CA$80K/yr

... Analytics division. In this position, the Consultant will be responsible for managing the daily ... R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake)

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics ...

RAM Engineer

Toronto, ON · On-site +1

CA$97K - CA$144K/yr

The RAM Engineer develops reliability analyses, maintainability studies, performance models ... Bachelor's degree in Engineering, Mathematics, Statistics, Physics, or related STEM discipline.

RAM Engineer

Mississauga, ON · On-site +1

CA$97K - CA$144K/yr

The RAM Engineer develops reliability analyses, maintainability studies, performance models ... Bachelor's degree in Engineering, Mathematics, Statistics, Physics, or related STEM discipline.

Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision ... Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ...

Showing results 41-60

Statistical Analyst Remote information

What does a statistical analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a statistical analyst in a remote role?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

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

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

What are popular job titles related to Statistical Analyst Remote jobs in Toronto, ON?

For Statistical Analyst Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst Remote jobs in Toronto, ON look for?

The top searched job categories for Statistical Analyst Remote jobs in Toronto, ON are:

Infographic showing various Statistical Analyst Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Sr. Machine Learning Engineer, Core Engineering

Pinterest

Toronto, ON • Remote

Full-time

Re-posted 11 days ago


Job description

With more than 535 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

What we're looking for:

  • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Degree in computer science, machine learning, statistics, or related field


Nice to have:

    • Publications at top ML conferences
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product
    • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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