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Data Science Contract Jobs in Ontario (NOW HIRING)

D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms ...

New

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced ...

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Partner across data science, backend and product on the producer to consumer contract (models produced by data science, consumed/aggregated downstream, surfaced to clients). What You'll Work On You ...

... forms or contracts. * Practical experience with ML/AI techniques, including supervised ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

Data Scientist

Toronto, ON · On-site

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a 12 month hybrid contract role in Toronto Uses advanced ... Typically between 5 - 7 years of relevant experience and post-secondary degree in Computer Science ...

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Data Science Contract information

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Data Science Contract jobs in Ontario? For Data Science Contract jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Data Science Contract jobs? Cities in Ontario with the most Data Science Contract job openings:
Infographic showing various Data Science Contract job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist - 12 month contract

CorGTA

Toronto, ON

CA$70/hr

Contractor

Posted 3 days ago

New


Job description

Role: Data Scientist
Rates: Up To $70.00 p/h INC.
Structure: 12 month contract
Location: North York, 1-2 days per month on-site
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We have a great new opportunity to support one of our clients in a contract capacity!

Please see below for more information on the position and if interested, apply with an updated resume aligned to the needs of the role.


Required Qualifications/Skills:
Experience: 58 years of applied industry experience in data science, statistical analysis, and
machine learning.
Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related
quantitative field.
Core ML & Forecasting Mastery: Deep expertise in traditional machine learning algorithms
(regression, classification, clustering, tree-based models) and a strong specialization in
forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
Programming Mastery: Advanced, production-level programming skills in Python (Pandas,
Scikit-Learn, Statsmodels) and highly complex SQL for large-scale data manipulation.
GCP Infrastructure: Strong, hands-on proficiency in the Google Cloud Platform ecosystem.
Experience building, training, and deploying models using Vertex AI, BigQuery, and Google Cloud
Storage.
Communication & Critical Thinking: Exceptional ability to distill complex data into meaningful business insights. Effective written and verbal communication skills are mandatory for cross-
functional collaboration.
Preferred Qualifications (Nice to Have):
Advanced AI / GenAI: Knowledge or hands-on experience with Deep Learning architectures and
Generative AI (e.g., LLMs, building Retrieval-Augmented Generation (RAG) pipelines).
Retail Domain Expertise: Previous experience applying data science within the retail sector (e.g.,
supply chain forecasting, pricing optimization, customer lifetime value).
MLOps & Orchestration: Familiarity with containerizing workloads (Docker) and using
orchestration tools (like Google Cloud Composer / Apache Airflow) to schedule and trigger
complex ML training pipelines.
Agile Tools: Familiarity with tracking and documentation tools such as JIRA and Confluence.


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CorGTA is an equal opportunity employer, please apply with an updated resume and ensure the required skills you are able to speak to for this position are included.

At times, CorGTA or itsclient partners may utilize AI tools to assist with the hiring processes.

By submitting your application, you consent to be contacted by CorGTA via email, SMS, or phone regarding current and future opportunities, and acknowledge our collection and use of your personal information in accordance with our Privacy Policy and Terms of Service: www.corgta.com/privacy-policy

For more roles like this, please go towww.corgta.com/find-a-job/