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Part Time Data Science Jobs in Ontario (NOW HIRING)

CA$30/hr

Data Science in Python/R: Preferably those with project experience in each language. * AI/Society ... 6 (Part time) Position Start Date: 2026-06-17 Position End Date: 2026-08-30 Deadline to Apply ...

CA$30/hr

Data Science in Python/R: Preferably those with project experience in each language. * AI/Society ... 6 (Part time) Position Start Date: 2026-06-17 Position End Date: 2026-08-30 Deadline to Apply ...

We are seeking a part-time professor to teach a course in an introduction data analytics and ... Master's degree or higher in Data Science, Statistics, or related field * Fluency in French ...

AI Engineer Intern/Co-op

Markham, ON · Hybrid

CA$24 - CA$28/hr

... Data Science, or a related field. * Preferred candidates will have completed at least 2 years of ... This role is designed to support academic schedules with flexible part-time hours during academic ...

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Part Time Data Science information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
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 Part Time Data Science jobs in Ontario? For Part Time Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Ontario look for? The top searched job categories for Part Time Data Science jobs in Ontario are:
What cities in Ontario are hiring for Part Time Data Science jobs? Cities in Ontario with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

CA$30/hr

Part-time

Posted 16 days ago


Job description

Please refer to theHow to Apply for a Job (for External Candidates)job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Hiring Unit:

Computational and Data Systems Institute (CDSI)

The Computational and Data Systems Institute (CDSI) aims to connect, complement, and amplify the rich ecosystem of McGill investments at the nexus where computing, data, and systems meet - particularly around AI and data science.

As part of its mission, CDSI offers workshops on topics related to programming languages, data science, machine learning, natural language processing, cluster computing, and advanced statistical methods. Workshops are 2h or 3h long during the Fall and Winter terms. In the summer, we offer week-long camps.

CDSI is looking for currently registered undergraduateor graduateMcGill Students to become Learning Assistants for these workshops. Under the direction of the immediate supervisor, Kiwon Lee, the Learning Assistants may perform some or all the listed general administration functions below. These functions are of moderatecomplexityand the incumbent performs them using established instructions.
Position Summary:

  • Act astechnicalfacilitator inperson and/orremote delivery, particularly in large classes.

  • Attend at least onemandatory meeting

  • ProvideWorkshop Attendeestechnical support during fixed delivery.

  • Provide technical support to one or moreWorkshopInstructors for in-person and/or remote delivery.

  • Includesbutisnotlimitedto coursemechanics, course content andtechnicalsupport for faculty andstudents.


Other Qualifying Skills and/or Abilities

  • Communication Skills:Maintainingeffective communication with CDSI staff, instructors, and participants. Introducing themselves at the beginning of each workshop.

  • Punctuality: Responding promptly to emails from CDSI staff and arriving on time for workshops.

  • Sense of Responsibility: Notifying CDSI staff or instructors24 hoursin advance if unable to attend scheduled workshops.

  • Computer Systems Workshop: Preferably students in Computer Science or Software Engineering.

  • ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing).

  • Advanced Statistics: Preferably graduate students in Statistics.

  • Data Science in Python/R: Preferably those with project experience in each language.

  • AI/Society: Preferably those with programming experience in non-STEM domains.

Minimum education,certificationand experience:

  • High School Diploma with one year of relevant experience in the field of work.

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
Knowledge of English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level # (qualifier) on a scale of 0-4.
For a definition of our language proficiency levels, please click here.

Minimum Education and Experience:

High School Diploma 1 Year Related Experience

Hourly Salary:

(AMUSE B) $30.00

Estimated Number of Work Hours per Week:

6 (Part time)

Position Start Date:

2026-06-17

Position End Date:

2026-08-30

Deadline to Apply:

2026-07-08

This position is covered by the AMUSE collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.