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Statistics Validator Jobs in Ontario (NOW HIRING)

This includes tasks such as psychometric modeling, statistical validation of assessment tools, longitudinal data analysis, and the preparation of analytical reports for internal and external ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence. * Provide thought leadership ...

... and statistical validation. You'll help build teams and architect a quality practice that is not only robust and scalable, but capable of handling the complexity and nuance of modern, non ...

The Manager, Model Validation provides independent, objective assessment and effective challenge of ... Advanced degree in a quantitative discipline (e.g., mathematics, statistics, economics, financial ...

Senior Manufacturing Quality Engineer

Oakville, ON · On-site

CA$130K - CA$150K/yr

This role requires deep expertise in process characterization, statistical engineering, validation, and continuous improvement within a regulated medical device environment. Key Responsibilities

... statistical analyses, etc; * Participate in design reviews to assess design verification and ... validation impact; * Accurately report and track product defects, verify hardware bug fixes, and ...

Familiarity with statistical analysis and CAD/CAM software. Required Skills/Experience: * Strong attention to detail and a commitment to accuracy. * Excellent problem-solving skills and a proactive ...

Establish best practices for statistical rigor, model validation, and analytical quality across the organization * Proactively identify opportunities to apply advanced analytics to solve emerging ...

TD Model Validation (MV) group is responsible for the independent validation and approval of ... Assess soundness of statistical / mathematic algorithm and choices of upstream valuation & cash ...

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Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

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

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What are popular job titles related to Statistics Validator jobs in Ontario?

For Statistics Validator jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Ontario look for?

The top searched job categories for Statistics Validator jobs in Ontario are:

Infographic showing various Statistics Validator job openings in Ontario as of September 2026, with employment types broken down into 67% Full Time, 21% Part Time, 6% Temporary, and 6% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Senior Data Scientist, Statistics and Modeling

Toronto, ON • On-site

CA$64K - CA$106K/yr

Full-time

Retirement

Re-posted 27 days ago


Job description

We are seeking a senior, results-oriented data science professional who can lead and support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical and deep learning models, build causal inference frameworks, and develop agentic AI solutions for marketing and customer analytics. The senior data scientist will lead analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency - while driving orchestration and optimization across analytical pipelines. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models, experimental design, and modern AI/ML techniques preferred.

What you'll do

  • Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.

  • Build comprehensive market, store and user-level test designs with explicit success criteria.

  • Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.

  • Collaborate in cross-functional teams to generate insights and test measurement frameworks that improve business practices and generate measurable business value.

  • Construct and improve predictive models to reduce test costs and improve result confidence.

  • Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives.

  • Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.

  • Design and deliver attribution, incrementality, and Marketing Mix Modeling frameworks to measure marketing and loyalty program impact at customer and channel level.

  • Design and implement agentic AI solutions to automate analytical workflows, insight generation, and decision support for business stakeholders.

  • Develop and deploy deep learning models for complex pattern recognition in customer behavior, product affinity, and marketing response.

  • Lead optimization and orchestration of end-to-end analytical pipelines across multiple data sources and modeling workstreams to ensure scalability and production reliability.

Key Relationships

  • Peers within the Advanced Analytics and Modelling teams.

  • Business Stakeholders throughout the retail organization.

What you bring

  • M.S or PhD, preferably in Statistics/Math/Economics/Computer Science or a related quantitative discipline.

  • 7+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.

  • Proficiency in using industry standard programming languages, including Python, R, or SAS.

  • 5+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.

  • Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.

  • Experience with deep learning frameworks (PyTorch, TensorFlow) and familiarity with agentic AI architectures and LLM-based solutions is an asset.

  • Experience designing and orchestrating multi-stage analytical pipelines with workflow optimization preferred.

  • Familiarity with cloud-based data structures, including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.

  • 5+ years interpreting, synthesizing, and presenting complex models and analyses to business partners.

  • Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills.

  • Demonstrated ability to work independently with minimal supervision, effectively navigating and resolving ambiguous problems and situations.

We're always looking for great talent! In addition to competitive pay, we offer:

  • Comprehensive benefits and retirement programs

  • Performance incentives, Continuing Education Programs

  • Other perks to support your well-being

  • Career growth opportunities and product discounts

Broadband Salary Range:$64,000.00 - $106,000.00

Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2

This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.


About Us


Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.


Our Commitment to Diversity, Inclusion and Belonging


We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.


Accommodations


We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.