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Statistical Programming Jobs in Ontario (NOW HIRING)

Td

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/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 ...

Td

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 ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. Youu2019re analytical, a problem-solver, detail-oriented and enjoy working in a ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. Youu2019re analytical, a problem-solver, detail-oriented and enjoy working in a ...

Imagine Communications

Junior SQL Developer

Toronto, ON

CA$80K - CA$100K/yr

Post-secondary education in Computer Science, Data/Information Systems, Mathematics/Statistics, Engineering, or a related field - or equivalent practical experience Salary Range: $80,000 - $100,000 ...

Imagine Communications

Junior SQL Developer

Toronto, ON

CA$80K - CA$100K/yr

Post-secondary education in Computer Science, Data/Information Systems, Mathematics/Statistics, Engineering, or a related field - or equivalent practical experience Salary Range: $80,000 - $100,000 ...

Stripe

Data Scientist

Toronto, ON

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

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All JobsStatistical Programming JobsStatistical Programming Jobs in Ontario

Statistical Programming information

See Ontario salary details

$14.5K

$119.5K

$201.5K

How much do statistical programming jobs pay per year?

As of Jun 9, 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.

Is SAS programming in demand?

SAS programming is in demand in industries such as healthcare, finance, and pharmaceuticals, especially for data analysis and reporting roles. Many organizations seek professionals skilled in SAS, along with knowledge of statistical methods and data management, making it a valuable skill in the job market for statistical programmers.

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:
What are popular job titles related to Statistical Programming jobs in Ontario? For Statistical Programming jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Statistical Programming jobs in Ontario look for? The top searched job categories for Statistical Programming jobs in Ontario are:
Statistical Programming jobs near you
Senior Machine Learning Engineer - Artificial Intelligence

Senior Machine Learning Engineer - Artificial Intelligence

Bloomberg

Toronto, ON • On-site

Other

Posted 22 days ago

Job description

Description & Requirements

Bloomberg's Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.

At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers  search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.

In Toronto, our Machine Learning Engineers are central to advancing Bloomberg's efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.

Join the AI Group as a Senior ML Engineer and you will have the opportunity to:

  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Design, train, experiment, and evaluate ML models, algorithms and solutions
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in ML and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

We are looking for Senior ML Engineers with the following experience: 

  • Practical experience with solving Machine Learning problems and techniques
    • Ph.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
  • Experience with machine learning and deep learning frameworks
  • Proficiency in software engineering
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus

If this sounds like you: 

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at http://www.techatbloomberg.com/ai 

This posting is for an open position at Bloomberg.

For some positions, we use automated assessment technologies to assist in selecting appropriate candidates based on criteria we have identified. These automated decisions are made by applying criteria that have been rigorously set by Bloomberg using human input and judgment, and may include communication, decision-making, innovation or teamwork. 
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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