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Part Time Data Science Engineer Jobs in Ontario (NOW HIRING)

CA$30/hr

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

CA$30/hr

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

CUPE- 2026 Fall SDS3386

Ottawa, ON

CA$31.89 - CA$50.25/hr

Faculte de genie / Faculty of Engineering Unit: EECS_ST Job Classification: Teaching Assistant/Demonstrator/Lab Monitor (CUPE) Posting Type: Cours precis / Specific course Course Title: Data Science ...

School of Engineering Design and Teaching Innovation_ST Job Classification: Teaching Assistant ... Must have strong theoretical knowledge of data science techniquessuch as regression, classification ...

CUPE- 2026 Fall SDS3786

Ottawa, ON · On-site

CA$31.89 - CA$50.25/hr

Faculte de genie / Faculty of Engineering Unit: EECS_ST Job Classification: Teaching Assistant ... Good knowledge of data science topics (e.g. data cleaning, descriptive and predictive analysis ...

Manage patient and exam data corrections within PACS and RIS Workflow Optimization & Quality ... Bachelor's degree or diploma in Health Informatics, Computer Science, Engineering, Health Sciences ...

GIS Analyst

Oakville, ON · On-site

CA$31 - CA$45/hr

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

GIS Analyst

Guelph, ON

CA$31 - CA$45/hr

Our scientists, engineers, field teams and consultants apply systems thinking that unites science, data and practical expertise to deliver solutions that strengthen our clients' resilience, mitigate ...

School of Engineering Design and Teaching Innovation_ST Job Classification: Teaching Assistant ... Fundamentals for Applied Data Science Course Code: DTI5126 Section: Supervisor name (if known)

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/07 ... Ph.D. in computer science, engineering, mathematics, operations research, or a closely related ...

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Part Time Data Science Engineer information

What is the difference between Part Time Data Science Engineer vs Data Analyst?

AspectPart Time Data Science EngineerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentProject-based, flexible hours, often remote or freelanceOffice or remote, regular hours, often in corporate settings
Employer & Industry UsageTech companies, startups, consulting firmsFinance, marketing, healthcare, retail

Part Time Data Science Engineers focus on building models and advanced analytics, often requiring programming skills and machine learning knowledge. Data Analysts primarily interpret data, create reports, and visualize insights. While both roles analyze data, Data Science Engineers handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and presentation.

What are the most commonly searched types of Data Science Engineer jobs in Ontario? The most popular types of Data Science Engineer jobs in Ontario are:
What cities in Ontario are hiring for Part Time Data Science Engineer jobs? Cities in Ontario with the most Part Time Data Science Engineer job openings:

CA$30/hr

Part-time

Posted 4 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.