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Remote Math Jobs in Ontario (NOW HIRING)

Computer Science, Mathematics, Statistics, Engineering). * Master's or Ph.D. is often preferred ... The role is able to be fully remote anywhere within Canada, however, hybrid work in Toronto is also ...

... days remote) Job Overview We are seeking a seasoned Solution Architect to deliver innovative ... Qualifications Bachelor's degree in Computer Science, Mathematics, or a related field. Minimum 10 ...

25-153 BI Developer

Oshawa, ON · Remote

$60 - $85/hr

Oshawa, ON (100% remote) Job Overview JOB FUNCTIONS: Semantic Modeling & Enterprise Reporting is ... Qualifications Bachelor's degree in computer science, Information Systems, Engineering, Mathematics ...

Designer

Hamilton, ON · On-site +1

CA$26.26 - CA$27.58/hr

Proficient in current AutoCAD/CAD software * Strong math, data-entry, customer service ... Remote - work from home Employment Type: Full-time Salary Range: $26.26 - $27.58 per hour Starting ...

Designer

Toronto, ON · On-site +1

CA$26.26 - CA$27.58/hr

Proficient in current AutoCAD/CAD software * Strong math, data-entry, customer service ... Remote - work from home Employment Type: Full-time Salary Range: $26.26 - $27.58 per hour Starting ...

Designer

Kingston, ON · On-site +1

CA$26.26 - CA$27.58/hr

Proficient in current AutoCAD/CAD software * Strong math, data-entry, customer service ... Remote - work from home Employment Type: Full-time Salary Range: $26.26 - $27.58 per hour Starting ...

Designer

Brantford, ON · On-site +1

CA$26.26 - CA$27.58/hr

Proficient in current AutoCAD/CAD software * Strong math, data-entry, customer service ... Remote - work from home Employment Type: Full-time Salary Range: $26.26 - $27.58 per hour Starting ...

Showing results 41-60

Remote Math information

See Ontario salary details

$10

$29

$66

How much do remote math jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote math in Ontario is $29.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $35.10 per hour, depending on experience, location, and employer.

What are the qualifications to get a remote math job?

The qualifications that you need to get a remote math job include advanced knowledge of mathematics and a postsecondary degree in a relevant field. Remote math teachers need at least a bachelor’s degree in math or education to teach at the elementary or secondary school level. States may also require a teaching license. Community college math instructors must have at least a master’s degree, while university-level professors need a doctorate and advanced credentials to teach online math courses. Math tutors may have a college degree, or they may be studying math at the college or graduate level. Employers may test tutors without a degree before starting employment. Along with educational requirements, remote math jobs require strong communication, technical, and time management skills, as well as a reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote math teacher, and why are they important?

To thrive as a Remote Math Teacher, you need a solid background in mathematics, a teaching credential or degree, and experience with curriculum planning. Familiarity with virtual classroom platforms (like Zoom or Google Classroom), online assessment tools, and digital whiteboards is typically required. Excellent communication, adaptability, and strong organizational skills help engage students and manage remote learning challenges. These skills and qualifications are crucial for delivering effective math instruction and maintaining student engagement in an online environment.

How does a remote math educator effectively collaborate with students and colleagues in a virtual environment?

As a remote math educator, collaboration is primarily facilitated through digital platforms such as video conferencing, shared documents, and virtual whiteboards. Regular communication with students often involves scheduled online classes, one-on-one tutoring sessions, and prompt feedback on assignments. Collaborating with colleagues may include participating in virtual team meetings, co-developing lesson plans, and sharing teaching resources digitally. Building strong relationships and maintaining clear, consistent communication are key to overcoming the challenges of remote interaction and ensuring student engagement and success.

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

AspectRemote MathRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, often independent or team-based projectsRemote, collaborative with data teams and stakeholders
Industry UsageEducation, research, finance, techBusiness, marketing, finance, healthcare
Common Search/ComparisonRemote MathRemote Data Analyst

Remote Math professionals focus on mathematical problem-solving, research, and theoretical work, often in academic or research settings. Remote Data Analysts interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles are remote and involve data, Remote Math emphasizes mathematical theory, whereas Remote Data Analysts focus on practical data insights for organizations.

What are the most commonly searched types of Math jobs in Ontario?

The most popular types of Math jobs in Ontario are:

What are popular job titles related to Remote Math jobs in Ontario?

For Remote Math jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Remote Math jobs?

Cities in Ontario with the most Remote Math job openings:

Infographic showing various Remote Math job openings in Ontario as of September 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $60,827 per year, or $29.2 per hour.

Staff Data Scientist - Ads Measurement, Signals, Privacy

Toronto, ON • Remote

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Reddit's Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.

Responsibilities:

  • Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
  • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit's Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
  • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
  • Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
  • Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Qualifications:

Required:

  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • For M.S. holders: 10+ years of industry experience in applied science or data science roles
  • For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Demonstrated expertise in at least one of the following areas:
    • Measurement & Experimentation at Scale (with focus on lift and attribution)
    • Identity Graph Creation & Resolution Methodology and Infrastructure
    • Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R) and SQL.
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies
  • Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave  

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