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Data Science Instructor Jobs in Toronto, ON (NOW HIRING)

Group Fitness Instructor and coach

Ajax, ON · On-site

CA$50 - CA$85/hr

Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ... Familiarity with heart rate training tools and performance data coaching * Proven ability to build ...

Lead Program Coordinator

Mississauga, ON · On-site

CA$75K - CA$100K/yr

Minimum BA or BSc. in a scientific or business discipline, or an appropriate combination of ... This role conducts instructor onboarding, training, and performance reviews, while serving as the ...

Faculty of Arts & Science Department: Dept of Political Science Campus: St. George (Downtown ... Preparing draftstatistical reports and summaries from data collected. * Serving as a resource to ...

Group Fitness Coach

Mississauga, ON · On-site

CA$45 - CA$80/hr

Energetic group fitness instructors and performance-minded coaches Key Focus: Functional strength ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

Data Science Instructor information

See Toronto, ON salary details

$20.5K

$94.4K

$214.7K

How much do data science instructor jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science instructor in Toronto, ON is $94,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,920.00 and $123,587.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Science Instructors and how can they be addressed?

Data Science Instructors often encounter challenges such as keeping up with rapidly evolving technologies and catering to students with varying skill levels. Staying current requires ongoing professional development and participation in industry forums or training. To address different learning paces, successful instructors design a range of assignments and provide individualized feedback. Collaborating with other instructors and participating in curriculum development also helps create a supportive teaching environment and enhances student success.

What are the key skills and qualifications needed to thrive in the Data Science Instructor position, and why are they important?

To thrive as a Data Science Instructor, you need a strong background in data science concepts, programming (often Python or R), machine learning, and statistical analysis, typically backed by a relevant degree or industry experience. Familiarity with tools such as Jupyter Notebooks, Tableau, and Git, as well as certifications like Google Data Analytics or AWS Certified Data Analytics, is highly valued. Excellent communication, mentorship, and presentation skills help make complex topics accessible and engaging. These skills ensure instructors can effectively convey up-to-date industry knowledge, support diverse learners, and foster strong educational outcomes.

What is a Data Science Instructor job?

A Data Science Instructor is responsible for teaching data science concepts, tools, and techniques to students or professionals. They design curriculum, develop learning materials, and provide hands-on training in areas such as machine learning, statistical analysis, and data visualization. Instructors may work for universities, bootcamps, or online platforms, and they often guide students with real-world projects and practical applications. Strong communication skills and industry experience are essential for effectively conveying complex topics.

What are the most commonly searched types of Data Science Instructor jobs in Toronto, ON? The most popular types of Data Science Instructor jobs in Toronto, ON are:
What are popular job titles related to Data Science Instructor jobs in Toronto, ON? For Data Science Instructor jobs in Toronto, ON, the most frequently searched job titles are:
Infographic showing various Data Science Instructor job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,383 per year, or $45.4 per hour.

CA$28/hr

Other

Posted 20 days ago


Job description

About us

CDI College is Canada's largest private college network with over 50 years of educational excellence with 23 campuses in British Columbia, Alberta, Ontario, Quebec and Manitoba. Our innovation and dynamism shine through a range of forward-thinking programs. We are a leading Canadian career training institution, dedicated to quality education and student success. Established in 1970, we offer over 50 diploma and certifications programs across various disciplines such as business, healthcare, technology, and art and design.

Job Status: Part-time, Remote (Weekend Availability Required)
Start Date: ASAP
Working Hours: Ongoing, Part-time
Compensation: $28/hour
Campus: CDI College - Brampton

Position Summary
The Data Analytics Instructor is responsible for delivering high-quality instruction and supporting student success in alignment with the program curriculum. This role focuses on engaging teaching, practical application of data analytics concepts, and fostering an inclusive learning environment.

Key Responsibilities

  • Deliver lectures, workshops, and hands-on training for the Data Analytics program.
  • Develop and implement lesson plans aligned with curriculum objectives.
  • Provide timely feedback on assignments and projects to support student progress.
  • Maintain accurate records of attendance and academic performance.
  • Contribute to curriculum enhancement and continuous improvement initiatives.
  • Collaborate with faculty to ensure consistent and high-quality program delivery.
  • Support student achievement, employability, and overall well-being.

Qualifications

Education & Experience

  • Degree in Data Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Minimum 2 years of industry experience in data analytics or a related field.
  • Minimum 2 years of teaching experience at the post-secondary level (preferred).

Skills & Competencies

  • Strong ability to teach and apply data analytics concepts through real-world projects.
  • Excellent communication and presentation skills.
  • Effective problem-solving and organizational abilities.
  • Collaborative approach with a focus on student engagement and success.
  • Familiarity with Learning Management Systems (LMS).

Technical Knowledge

  • Proficiency in Python and data analysis libraries.
  • Working knowledge of big data tools and technologies (e.g., Spark, Hadoop, Tableau, R, NoSQL).
  • Understanding of data analytics fundamentals and methodologies (e.g., Agile, Lean).
  • Basic knowledge of artificial intelligence concepts.

Don't hold back!-apply today, even if you do not tick every skills list. We cherish diverse skill sets, knowing your unique experiences and perspectives enrich our dynamic team.
We are proudly Canadian - rooted in our diverse communities, guided by our values, and committed to growing together from coast to coast.