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Part Time Data Scientist Machine Learning Jobs in Ontario

Mcgill

CA$30/hr

... data science, machine learning, natural language processing, cluster computing, and advanced ... 6 (Part time) Position Start Date: 2026-06-17 Position End Date: 2026-08-30 Deadline to Apply ...

Mcgill

CA$30/hr

... data science, machine learning, natural language processing, cluster computing, and advanced ... 6 (Part time) Position Start Date: 2026-06-17 Position End Date: 2026-08-30 Deadline to Apply ...

Uottawa

APTPUO-Fall 2026-MIA5130 (online)

Ottawa, ON

CA$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/07 ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Oxford Learning Centres, Inc.

$19/hr

Sharp with science? Excited by equations in both fields? Eager to help students succeed in math and ... Oxford Learning St. Catharines is currently seeking part-time teacher-tutors for a role in our ...

Oxford Learning Centres, Inc.

$20 - $21/hr

High School Math & Science Teacher/Tutor Wanted - AUGUST 2026 START Must have Canadian Curriculum ... Oxford Learning Mississauga Central is currently seeking part-time teacher-tutors for a role in our ...

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All JobsData Scientist Machine Learning JobsPart Time Data Scientist Machine Learning JobsPart Time Data Scientist Machine Learning Jobs in Ontario

Part Time Data Scientist Machine Learning information

How do part-time data scientists specializing in machine learning typically collaborate with full-time teams and stakeholders?

Part-time data scientists in machine learning roles often work closely with full-time team members through regular meetings, collaborative project management tools, and clear documentation. They may be responsible for specific components of a project, such as data preprocessing, model development, or evaluation, and are expected to provide frequent updates and integrate their work with the broader team’s efforts. Effective communication and proactive time management are key, as part-time professionals usually need to balance their limited hours with project milestones and cross-functional collaboration. This structure allows part-time data scientists to contribute significant value while maintaining flexibility.

What is the difference between Part Time Data Scientist Machine Learning vs Part Time Data Analyst?

AspectPart Time Data Scientist Machine LearningPart Time Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning algorithmsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentFocus on developing predictive models, machine learning algorithms, and advanced analyticsData cleaning, reporting, and descriptive analysis of datasets
Employer & Industry UsageTech companies, finance, healthcare, and industries leveraging AI and predictive analyticsRetail, marketing, finance, and other sectors requiring data reporting and insights

Part Time Data Scientist Machine Learning roles focus on building predictive models and applying machine learning techniques, requiring specialized skills and advanced knowledge. In contrast, Part Time Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential but differ in complexity and technical depth.

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

To thrive as a Part Time Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as experience with data visualization tools and cloud platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex data insights for stakeholders and collaborate within teams. These competencies ensure you can develop accurate models, deliver actionable results efficiently, and adapt to the dynamic needs of part-time project work.

What does a part time data scientist specializing in machine learning do?

A part time data scientist with a focus on machine learning uses statistical methods and algorithms to analyze data and build predictive models, typically on a flexible or reduced schedule. They work with datasets to extract insights, clean and prepare data, train machine learning models, and help organizations make data-driven decisions. Their responsibilities may include collaborating with teams, presenting findings, and deploying models, but on a part-time basis, allowing for work-life balance or the pursuit of additional projects. This role is ideal for those seeking to contribute their expertise without committing to a full-time position.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Ontario? The most popular types of Data Scientist Machine Learning jobs in Ontario are:
What cities in Ontario are hiring for Part Time Data Scientist Machine Learning jobs? Cities in Ontario with the most Part Time Data Scientist Machine Learning job openings:
Part Time Data Scientist Machine Learning jobs near you

IT Assistant B

Mcgill

CA$30/hr

Part-time

Posted 6 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.

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