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Applied Math Degree Jobs in Ontario (NOW HIRING)

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

Applied Analytics Expertise : Demonstrated ability to creatively explore data, identify nonobvious ... A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g ...

Principal Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field. * 5+ years of data science experience. * In-depth knowledge in machine ...

Data Scientist 2

Toronto, ON · Hybrid

CA$84K - CA$126K/yr

  • Medical

  • Retirement

Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field * 2-4 years of professional experience in applied statistics and/or machine learning model development and ...

Experience: 58 years of applied industry experience in data science, statistical analysis, and machine learning. Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a ...

Bachelor's Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) * 5-7+ years of experience in AI/ML engineering, applied machine learning, natural ...

... applied to solve technical problems, and assist in project execution. Specific duties include ... An Engineering / Energy / Physics / Mathematics related bachelor's degree, or equivalent in a ...

Showing results 41-60

Applied Math Degree information

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that rely on modeling, statistical analysis, and computational tools, and the degree can lead to roles requiring programming languages like Python or MATLAB. Its versatility makes it valuable across many sectors, especially when combined with internships or certifications.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and problem-solving roles, especially when combined with programming languages like Python or MATLAB.

What jobs do you get with applied math degree?

An applied math degree prepares individuals for roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software, mathematical modeling, or data visualization tools.

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

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

What job categories do people searching Applied Math Degree jobs in Ontario look for?

The top searched job categories for Applied Math Degree jobs in Ontario are:

Infographic showing various Applied Math Degree job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit

Toronto, ON • Remote

Full-time

Medical, Retirement, PTO

Posted 14 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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