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Math Jobs in Manitoba (NOW HIRING)

The Data Scientist applies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks-routing, network structure ...

COOK

Winnipeg, MB · On-site

CA$4.3K - CA$6.4K/mo

Grade 10 Workplace math or math 414 / CTS 4 in Quebec. Foreign education may be accepted. Direct Entry Plan The ideal candidate already has a college diploma or certificate in food services or ...

COOK

Winnipeg, MB · On-site

CA$4.3K - CA$6.4K/mo

Grade 10 Workplace math or math 414 / CTS 4 in Quebec. Foreign education may be accepted. Direct Entry Plan The ideal candidate already has a college diploma or certificate in food services or ...

CA$25/hr

Possess strong mathematical, analytical, and sales skills. * Must be extremely organized. * Able to work independently, multi-task in a fast pace and demanding work environment. * Strong attention to ...

Perform basic math functions to collect payments and make change * Knowledge of A&W menu items to assist guests with ordering * Operate registers, scanners and process debit/credit transactions

Senior Deep Learning Engineer

Winnipeg, MB · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

Senior Deep Learning Engineer

Winnipeg, MB · On-site +1

$130K - $180K/yr

Strong math skills and Python proficiency * Experience with C/C++ Preferred Skills & Experience: * Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low ...

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Math information

See Manitoba salary details

$9

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$38

How much do math jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for math in Manitoba is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $24.52 per hour, depending on experience, location, and employer.

What are some typical challenges math professionals face when working in a collaborative team environment?

Math professionals often work closely with colleagues from diverse backgrounds, such as engineers, scientists, or data analysts. A common challenge is communicating complex mathematical concepts in ways that are accessible and actionable for non-mathematicians. Additionally, balancing independent problem-solving with regular team collaboration can be demanding, as projects may require both deep focus and frequent coordination. Developing strong communication and teamwork skills is essential for success and advancement in math-related roles.

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

To thrive as a Mathematician, you typically need strong analytical and problem-solving skills, a solid background in advanced mathematics, and at least a bachelor's degree (often a master's or PhD for research roles). Familiarity with mathematical modeling software, programming languages like Python or MATLAB, and statistical analysis tools is highly valuable. Excellent communication, critical thinking, and perseverance set standout professionals apart when explaining complex concepts or collaborating on interdisciplinary projects. These skills are essential for conducting accurate research, developing innovative solutions, and effectively sharing results in academic, scientific, or commercial settings.

What careers focus on math?

Careers that focus on math include roles such as mathematician, statistician, actuary, data analyst, operations researcher, and financial analyst. These jobs often require strong analytical skills, proficiency with mathematical tools and software, and relevant degrees in mathematics, statistics, or related fields.

What careers can I do with maths?

A degree or background in mathematics can lead to careers such as data analyst, actuary, statistician, financial analyst, operations researcher, or mathematician. These roles often require strong analytical skills, proficiency with software tools like Excel or programming languages, and sometimes certifications or advanced degrees. Math professionals work in industries including finance, technology, research, and education.

What do mathematicians do?

Mathematicians use advanced mathematical theories and techniques to solve practical problems in fields such as business, engineering, and the sciences. Their work often involves conducting research, analyzing data, developing mathematical models, and applying mathematical principles to real-world situations. Mathematicians may also work in academia, teaching and publishing scholarly articles, or in industry, contributing to technological and scientific advancements.

What is the difference between Math vs Data Analyst?

AspectMathData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentAcademic, research, or theoretical settingsBusiness, corporate, or tech industries
Employer & Industry UsageUniversities, research institutions, government agenciesCompanies, consulting firms, tech companies
Common Search & ComparisonMathematics rolesData analysis, data science jobs

Math professionals focus on theoretical concepts, proofs, and mathematical models, often working in academia or research. Data Analysts interpret data to provide actionable insights for businesses, using statistical tools and software. While both roles require strong analytical skills, Math is more theoretical, whereas Data Analysts apply these skills to real-world data problems.

What jobs pay 500,000 a year in the US?

High-paying jobs for mathematicians or related roles often include quantitative analysts, data scientists, and financial managers, especially in finance and investment firms. These positions typically require advanced degrees, strong analytical skills, and experience with programming and statistical tools, and they may involve long hours and high responsibility.

What are careers that use math?

Careers that use math include roles such as mathematician, statistician, data analyst, actuary, financial analyst, engineer, and computer scientist. These jobs often require strong analytical skills, proficiency with mathematical tools and software, and sometimes certifications or advanced degrees depending on the field.
What are the most commonly searched types of Math jobs in Manitoba? The most popular types of Math jobs in Manitoba are:
What are popular job titles related to Math jobs in Manitoba? For Math jobs in Manitoba, the most frequently searched job titles are:
What job categories do people searching Math jobs in Manitoba look for? The top searched job categories for Math jobs in Manitoba are:
Infographic showing various Math job openings in Manitoba as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, and 13% Remote job distribution, with an average salary of $44,700 per year, or $21.5 per hour.
Data Scientist

Full-time

Posted 18 days ago


Job description

The Data Scientist applies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks-routing, network structure, utilization, demand and cost modeling, and prediction. This is an analytical role, not a data engineering or MLOps role; the focus is on formalizing ambiguous business questions, selecting and defending appropriate methods, and communicating findings and their limitations to operational and executive stakeholders. Graph-structured data is central to how the business is modeled, so comfort reasoning about networks is a distinct advantage.

Responsibilities:

  • Translate ambiguous operational problems into well-posed statistical, mathematical, or graph-theoretic questions
  • Design and run analyses including statistical modeling, regression, optimization, simulation, and predictive/ML modeling
  • Build and validate predictive models, and clearly characterize where they generalize and where they do not
  • Work directly with real data-cleaning, exploring, and interrogating it before modeling
  • Communicate methods and results to operational and executive stakeholders, including the reasoning behind methodological choices and their limitations
  • Distinguish correlation from causation and signal from artifact, and state clearly when the data cannot answer the question

Qualifications:

  • STEM degree required; Master's or PhD in a quantitative field (statistics, applied math, operations research, physics, computer science, or similar) strongly preferred
  • 4+ years of applied analytical or data science experience (mid-senior)
  • Strong foundation in statistics, probability, and applied mathematics (linear algebra, optimization, or similar)
  • Experience with predictive modeling and machine learning, and the judgment to know when a simpler method is the right one
  • Proficiency scripting in Python or R for analysis-clean, correct code, without an expectation of shipping production systems
  • Fluency with data manipulation (SQL, pandas/dplyr, or equivalent)
  • Ability to reason about uncertainty and clearly state assumptions and their consequences
  • Demonstrated ability to explain technical work to non-technical audiences
  • Graph/network analysis (community detection, flow, shortest-path, centrality) or graph-based ML
  • Time series, causal inference, or experimental design
  • Optimization or operations research applied to logistics, routing, or scheduling
  • Domain exposure in trucking, freight, logistics, or supply chain

This job is classified under NOC Code: 21211


Why Bison:
Thrive in a supportive team that provides coaching and training to help develop your skills and progress your career
Dispersed work environments that promote a healthy work-life balance
Meaningful and impactful work and projects with an essential service provider
Join our engaging Wellness Program & extracurricular sports teams

About Bison:
Celebrating over 50 years in Business
Active in giving back through Corporate Social Responsibility and Charitable Giving
Committed to environmental sustainability

Bison Transport is committed to Diversity and Inclusion in the Workplace.