1

Causal Inference Jobs in Ontario (NOW HIRING)

The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...

The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...

Leverage advanced analytics Apply statistical techniques segmentation cohort analysis regression causal inference to uncover drivers of user behavior and product performance \n * Collaborate cross ...

Senior Data Analyst (m/f/d)

Toronto, ON ยท On-site +1

CA$110K - CA$140K/yr

Strong knowledge of statistics, experimentation, causal inference, and KPI design. * Experience partnering with Data Science and ML teams. * Hands-on experience with AI tools for analytics ...

Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling ...

Senior Data Analyst

Toronto, ON ยท Hybrid

CA$105K - CA$115K/yr

Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation) * Proven ability to independently structure ambiguous problems and deliver ...

Applied Machine Learning Scientist I

Toronto, ON ยท On-site

CA$105K - CA$125K/yr

Familiarity with causal inference, anomaly detection, or agent-based systems * Experience applying software engineering practices such as code reviews, version control, testing, and documentation in ...

Staff Data Scientist

Toronto, ON ยท Hybrid

CA$192K - CA$230K/yr

Tackle high-ambiguity challenges, such as integrating causal inference or deep learning into global forecasts. GenAI & LLM Innovation: * Act as the subject matter expert for Generative AI; design RAG ...

Familiarity with causal inference, anomaly detection or agents. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches ...

Data Scientist II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference. * Experience building, training, and deploying ...

Senior Customer Insights Analyst

Ottawa, ON ยท Remote

CA$90K - CA$115K/yr

Familiarity with experimentation, causal inference, cohort analysis, segmentation, or predictive modeling. * Experience influencing product roadmaps, CX strategy, or operational planning through ...

Showing results 21-40

Causal Inference information

See Ontario salary details

$21K

$114.4K

$169.5K

How much do causal inference jobs pay per year?

As of Aug 6, 2026, the average yearly pay for causal inference in Ontario is $114,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $156,000.00 per year, depending on experience, location, and employer.

Is causal inference still relevant?

Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What jobs use causal inference?

Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What are popular job titles related to Causal Inference jobs in Ontario? For Causal Inference jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Ontario look for? The top searched job categories for Causal Inference jobs in Ontario are:
Infographic showing various Causal Inference job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $114,369 per year, or $55 per hour.

Data Scientist, Statistics and Modelling - 2 Year Contract

Canadiantirecorporation

Toronto, ON โ€ข On-site

$32.82/hr

Full-time

Retirement

Re-posted 14 days ago


Job description

Number of Role Openings: 2

We are seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The data scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design 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.

  • Act as an active contributor to the analytics strategy within the Advanced Analytics team.

What you bring

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

  • 3+ 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.

  • 3+ 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.

  • 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.

  • 3+ 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:

  • Career growth opportunities and product discounts

Our typical hiring range is between $32.82 per hour and $54.34 per hour. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. 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


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.