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Online Masters Computer Science Jobs in Toronto, ON

Geotab

Senior Data Scientist

Oakville, ON

... Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset ... We encourage work-life balance and keep the Geotab culture going strong with online social events ...

Alphawave Semi

Staff Application Eingineer

Toronto, ON · On-site

Bachelor's in computer science or Electrical/Computer Engineering or Engineering Science or Masters/PhD in Computer Science or Electrical/Computer Engineering or Engineering Science * Programming ...

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be ...

Sanofi

Data Scientist

Toronto, ON

Bachelor's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field. Masters preferred. * 3+ years of professional experience as a Data Scientist applying AI/ML ...

Epistemix

Data Scientist

Toronto, ON · Remote

Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field * Experience with more than one company size or ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field. * 6+ years experience in Data Scientist or Machine ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

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Online Masters Computer Science information

What are the key skills and qualifications needed to thrive as a graduate of an Online Master's in Computer Science, and why are they important?

To excel as a graduate of an Online Master's in Computer Science, you need advanced programming abilities, algorithmic thinking, and a strong grasp of computer science fundamentals, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or Java, experience with tools such as Git and cloud platforms, and sometimes certifications in data science or cybersecurity are highly valuable. Strong problem-solving, self-motivation, and effective communication skills help you stand out in remote or collaborative environments. These skills and qualifications are crucial for tackling complex technical problems and succeeding in diverse, technology-driven roles.

How do professionals in an online Master's in Computer Science program balance coursework with full-time employment?

Many students in online Master's in Computer Science programs are working professionals who need to juggle academic responsibilities with their careers. These programs are typically designed for flexibility, often offering asynchronous lectures and assignments that can be completed on your schedule. However, staying disciplined with time management, setting aside regular study hours, and proactively communicating with instructors are key to successfully managing both work and study commitments. Additionally, online platforms often provide collaboration tools and virtual office hours to support students in balancing their responsibilities.

What is an online master's in computer science?

An online master's in computer science is a graduate-level degree program that allows students to study advanced topics in computer science remotely, typically through a university's online platform. These programs generally cover areas such as algorithms, machine learning, artificial intelligence, software engineering, and data science. They are designed for working professionals or students who need flexibility in their schedules. Graduates often pursue careers in software development, data science, research, or continue their academic studies. Admission usually requires a bachelor's degree in computer science or a related field.

How to make $70,000 a year from home?

An online master's in computer science can lead to remote roles such as software developer, data analyst, or cybersecurity specialist that pay $70,000 or more annually. Building in-demand skills, gaining relevant certifications, and gaining experience in programming languages like Python or Java can help achieve this income level while working from home.

What is the difference between Online Masters Computer Science vs Software Developer?

AspectOnline Masters Computer ScienceSoftware Developer
CredentialsTypically requires a master's degree in computer science or related fieldUsually requires a bachelor's degree in computer science or related field, certifications optional
Work EnvironmentAcademic, research, or industry settings; often involves project work and collaborationPrimarily in office or remote settings; focuses on coding, testing, and software design
Industry UsageUsed for career advancement, specialization, or transitioning into tech rolesCore role in tech companies, startups, and IT departments
Search & Comparison IntentUnderstanding educational pathways and qualificationsJob responsibilities, skills, and career prospects

Online Masters Computer Science provides advanced academic credentials suitable for research, teaching, or specialized roles, while Software Developer focuses on practical coding and software creation. Both roles are integral to the tech industry but serve different career stages and objectives.

What are the most commonly searched types of Masters Computer Science jobs in Toronto, ON? The most popular types of Masters Computer Science jobs in Toronto, ON are:
What are popular job titles related to Online Masters Computer Science jobs in Toronto, ON? For Online Masters Computer Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Online Masters Computer Science jobs in Toronto, ON look for? The top searched job categories for Online Masters Computer Science jobs in Toronto, ON are:
Online Masters Computer Science jobs near you
Infographic showing various Online Masters Computer Science job openings in Toronto, ON as of May 2026, with employment types broken down into 83% Part Time, and 17% Contract. Highlights an 32% In-person, and 68% Remote job distribution.

Senior Data Scientist

Geotab

Oakville, ON

Other

Medical, Dental, Retirement

Posted 11 days ago

Job description

Who you are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist who will design and build production-ready analytics systems that extract actionable insights from video, image, and sensor data. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do

As a Senior Data Scientist, your key area of responsibility will be evaluating and integrating Vision Language Models (VLMs) into scalable cloud-based processing pipelines, developing robust evaluation frameworks to measure model quality across diverse product use cases, and optimizing end-to-end inference performance for cost, latency, and accuracy. You will need to work closely with Geotab's product and platform teams to deliver computer vision features across safety, compliance, and geospatial applications.

To be successful in this role, you will be a strong team-player with an adaptive mindset to stay current with the rapidly evolving multi-modal AI landscape and the ability to engage effectively at all organizational levels. In addition, the successful candidate will have strong project management and analytical skills, with the ability to identify needs, develop effective solutions, and manage projects from research through production deployment.

How you'll make an impact:
  • Lead the research, evaluation, and integration of Vision Language Models (VLMs) and foundation models to extract actionable insights from video, image, and telematics data.
  • Design experimentation frameworks to systematically benchmark model performance across accuracy, precision, recall, and domain-specific quality metrics.
  • Develop prompt engineering and fine-tuning strategies for multi-modal reasoning tasks, optimizing for visual understanding in real-world operational environments. Build scalable evaluation methodologies that replace manual labeling with automated, data-driven assessment approaches.
  • Combine video, image, and telematics data to develop contextual models that enrich visual insights with sensor telemetry, vehicle dynamics, and geospatial signals.
  • Collaborate with cross-functional product teams to translate business problems into well-scoped data science solutions, from hypothesis through production deployment.
  • Partner with engineering teams to ensure models are production-ready, balancing inference cost, latency, and accuracy at scale.
  • Stay current with advances in vision-language model research and drive adoption of emerging techniques into the product portfolio.
  • Mentor team members on best practices for vision model evaluation, prompt engineering, and pipeline development. Maintain comprehensive documentation of pipeline architectures, evaluation methodologies, and experimental results.
What you'll bring to this role:
  • 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.
  • Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).
  • Proven experience building and deploying computer vision or video analytics pipelines in production environments using Python.
  • Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and cloud-based inference infrastructure (e.g., Ray, Vertex AI, or Azure). Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark).
  • Experience with evaluation framework design, including ensemble voting approaches and ground truth management.
  • Excellent communication skills for effective collaboration across product, platform, and data science teams
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
This posting is for an existing vacancy.
 
Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

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