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Applied Math Research Assistant Jobs in Ontario (NOW HIRING)

CUPE-F2026-RA -96H

Ottawa, ON ยท On-site

CA$33.83 - CA$53.31/hr

Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: Ecology Lab Course Code ... These rates will be applied until a new collective agreement is ratified. Retro will be paid after ...

CUPE - Hiver 2027 - RA - EEP

Ottawa, ON ยท On-site

CA$33.83 - CA$53.31/hr

Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: s/o Course Code: s/o ... These rates will be applied until a new collective agreement is ratified. Retro will be paid after ...

CUPE - Automne 2026 - RA - EEP

Ottawa, ON ยท On-site

CA$33.83 - CA$53.31/hr

Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: s/o Course Code: s/o ... These rates will be applied until a new collective agreement is ratified. Retro will be paid after ...

Analyst, Media Research & Insights

Toronto, ON ยท Hybrid

CA$56K - CA$65K/yr

Maintain and update research databases, tracking systems, and presentations * Assist with ongoing ... Post-Secondary education in research, analytics, mathematics, statistics, social science, data ...

We obsess over our customers through applied research and development of new products and ... Familiarity with probabilistic models and have an understanding of the mathematical concepts ...

You will participate actively in all aspects of designing, researching, building, and delivering ... Mathematics, Computer Science, Statistics, or a related quantitative field with 3+ years of ...

Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred * 2+ years of hands-on technical experience in a data ...

Showing results 41-60

Applied Math Research Assistant information

What is an applied math research assistant?

Applied Math Research Assistants are individuals who support research projects that use mathematical methods to solve real-world problems in fields such as engineering, science, finance, or data analysis. They often assist with data analysis, mathematical modeling, programming, and interpreting results under the guidance of a lead researcher or professor. Their work helps advance knowledge in applied mathematics and often contributes to academic publications or industry innovations.

What are the key skills and qualifications needed to thrive as an applied math research assistant?

To thrive as an Applied Math Research Assistant, you need strong mathematical reasoning, statistical analysis abilities, and typically a background in mathematics, statistics, or a related field. Familiarity with programming languages such as Python or MATLAB, as well as experience with data analysis software and mathematical modeling tools, is often required. Attention to detail, critical thinking, and effective communication skills help distinguish top candidates in this role. These skills are essential for accurately conducting research, interpreting complex data, and collaborating effectively within research teams.

What are typical collaborative projects an applied math research assistant might work on within a research team?

As an Applied Math Research Assistant, you will often collaborate on interdisciplinary projects that involve developing mathematical models, running simulations, or analyzing large datasets to solve real-world problems. These projects may involve close cooperation with faculty, graduate students, and sometimes professionals from fields like engineering, computer science, or the natural sciences. You'll likely contribute to team meetings, share findings, and assist with drafting research papers or presentations, making teamwork and communication essential parts of the role.

What is the difference between Applied Math Research Assistant vs Data Analyst?

AspectApplied Math Research AssistantData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, industry R&DBusiness settings, tech companies, finance, healthcare
Employer & Industry UsageUniversities, research institutes, R&D departmentsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding research-focused roles in applied mathematicsAnalyzing data to inform business decisions

The Applied Math Research Assistant typically focuses on mathematical modeling, algorithm development, and research projects within academic or research settings. In contrast, a Data Analyst primarily interprets data to support business strategies in corporate environments. While both roles require strong analytical skills, the Applied Math Research Assistant emphasizes theoretical and experimental work, whereas the Data Analyst concentrates on data interpretation and reporting for decision-making.

What cities in Ontario are hiring for Applied Math Research Assistant jobs?

Cities in Ontario with the most Applied Math Research Assistant job openings:

Infographic showing various Applied Math Research Assistant job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Data Scientist (Applied AI & Analytics)

London, ON โ€ข On-site

ITPS (Canada) LTD
11 - 50 employees

CA$110K - CA$150K/yr

Full-time

Re-posted 6 days ago


Key responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets

  • Develop methodologies to extract meaningful insights from time-series and high-frequency data

  • Support visualization and reporting of analytical results


Job description

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 – $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What We’re Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 – $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.