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Applied Data Science Jobs in Ontario (NOW HIRING)

Waabi

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Future Secure AI

About the Role We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas. As an Applied Scientist, you will be a key contributor to the ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

... Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as ... as applied to real-world performance measurement The US yearly salary range for this role is: $128 ...

Vangard, Inc.

Senior AI Scientist

Toronto, ON

About the Role This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents ...

Future Secure AI

The Opportunity As a Senior Data Scientist - Applied Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

illumin

Data Scientist

Toronto, ON · On-site

You will have room to explore ideas, challenge assumptions, and help define how data science is applied across the business. How you will make an impact: * Develop predictive and optimization ...

Td

Sr. Full Stack Data Science Engineer

Toronto, ON

CA$154K - CA$199K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Applied Analytics Expertise : Demonstrated ability to creatively explore data, identify nonobvious ...

StackAdapt

Applied Machine Learning Scientist

London, ON · On-site +1

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as ... Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

What You'll Bring * 7+ years of experience in Product Analytics, Data Analytics, or Applied Data Science. * Advanced SQL and strong Python skills. * Experience with data modeling and ELT/ETL tools (e ...

Cushman & Wakefield

Junior Data Scientist

Toronto, ON · On-site

Bachelor's degree inEconomics,Data Science,Real Estate, Applied Economics, Geography,UrbanPlanningor anyclosely related field with quantitative emphasis.A master's degree ispreferredand adoctoral ...

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All JobsApplied Data Science JobsApplied Data Science Jobs in Ontario

Applied Data Science information

See Ontario salary details

$26K

$147.2K

$224K

How much do applied data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for applied data science in Ontario is $147,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $183,000.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

Is data science high paying?

Data science is generally considered a high-paying field, with salaries often above average for technology roles. Factors such as experience, skills in programming and statistical analysis, and industry can influence compensation levels.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools. The degree often requires proficiency in programming languages like Python or R and knowledge of data management and modeling techniques.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and often involve working with large datasets to inform decision-making.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

Is 40 too late for data science?

Applied Data Science is a field open to individuals of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and continuously learning new tools like Python or R.

What is an Applied Data Science job?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in Ontario? For Applied Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in Ontario look for? The top searched job categories for Applied Data Science jobs in Ontario are:
Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Ontario as of July 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,249 per year, or $70.8 per hour.

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON • On-site

Full-time

Re-posted 24 days ago

Job description

Salary:

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

  • Bachelors or Masters 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 Were 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.