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Statistical Programming Jobs in Ontario (NOW HIRING)

Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high ...

CA$28/hr

Keep data and statistics on programs, events and Record attendance and involvement at activities ... Client Programming Supervisor and the Client Services Department to coordinate events, obtain ...

A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Bachelor's degree in Computer Science, Mathematics, Economics, Statistics, Engineering, or a related quantitative field required. * Experience in digital product analytics and experimentation ...

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from ...

... statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques. * Must be well versed in general infrastructure technology and understand public ...

... statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques. * Must be well versed in general infrastructure technology and understand public ...

This is a high-ownership role at the intersection of data engineering, applied statistics, and production AI. You'll operate as a senior individual contributor with end-to-end responsibility across ...

Statistical techniques, i.e., failure mode and effects analysis (FMEA), reliability failure ... ASQ Quality Engineer certification and/or Lean six sigma green belt or higher. * 5+ years ...

This is a high\-ownership role at the intersection of data engineering, applied statistics, and production AI. You'll operate as a senior individual contributor with end\-to\-end responsibility ...

Work at the intersection of large-scale data engineering, statistical modelling, and cutting-edge AI, building the infrastructure that powers operational efficiency and financial forecasting across ...

QMS Engineer

Burlington, ON · On-site

CA$98K - CA$110K/yr

Familiarity with statistical and quality methodologies including Statistical Process Control (SPC ... ASQ Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), or equivalent SQA ...

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Statistical Programming information

See Ontario salary details

$14.5K

$119.5K

$201.5K

How much do statistical programming jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical programming in Ontario is $119,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in Ontario? The most popular types of Statistical Programming jobs in Ontario are:
Infographic showing various Statistical Programming job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $119,452 per year, or $57.4 per hour.
Senior Data Scientist

Senior Data Scientist

Canadian Tire

Toronto, ON • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Canadian Tire Corporation rating

4.8

Company rating: 4.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

What you'll do
The Senior Data Scientist role provides analytical and technical support in the scope of executing targeted campaigns for our customers. The Senior Data Scientist will be the subject matter expert in combining customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns. The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. You're analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. You're ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an ‘automate first' mindset to continuously strive towards efficiency.
Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested
Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value
Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z.
Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values.
Write queries that efficiently and accurately integrate customer data from a variety of organizational systems.
Ensure generated insights meet standards of analytical and statistical rigour, highlighting gaps where necessary.
Provide mentorship to team members on data, code, and data science best practices
Lead the creation of efficient, cost-effective high-availability pipelines.
Provide ad hoc analytics and recommendations for action as needed.
What you bring
M.S degree in Statistics, Engineering, Computer Science or a related field
3+ years of relevant work experience
Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.
In-depth experience with Python, SQL
Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages
Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc.)
Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)
Project management, team mentorship and leadership qualities
Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools is preferred
MLOps experience is preferred
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, 1,700 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.

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