ZipRecruiter

Log In

1

New Graduate Computer Science Jobs in Ontario (NOW HIRING)

Geotab

Senior Data Scientist

Oakville, ON · On-site

Implement new statistical or mathematical methodologies for specific models of data analysis ... Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field ...

Lyft

Data Science Manager, Rider Experience

Toronto, ON · On-site

... Computer Science, or a related area * Hands-on technical experience in experimentation, causal ... Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to ...

Westpacnz

Agribusiness Graduate, 2027 Westpac Graduate Programme Applications are now open for our ... Additionally, applicants must be New Zealand or Australian citizens or permanent residents. If you ...

Uniqlo

CA$72K/yr

Annual Salary: $72,000 CAD. ABOUT US Welcome to Uniqlo, where our journey from a single store in ... new and unique value. Our commitment to quality and innovation is evident in our fabric ...

Forhyre

Chief Technology Officer

Toronto, ON

Discover and implement new technologies that yield competitive advantage * Help departments use ... BSc/BA in Computer Science, Engineering or a related field; MBA or other relevant graduate degree ...

Waabi

Research Scientist

Toronto, ON · On-site

CA$158K - CA$269K/yr

As a research scientist, you will invent new AI technologies that enable our launch of fully ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

CorGTA

Data Scientist - 12 month contract

Toronto, ON

CA$70/hr

North York, 1-2 days per month on-site -- We have a great new opportunity to support one of our ... Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative ...

New

previous page

Showing results 41-60

All JobsNew Graduate Computer Science JobsNew Graduate Computer Science Jobs in Ontario

New Graduate Computer Science information

What is a new graduate computer science job?

New Graduate Computer Science jobs are entry-level positions designed for individuals who have recently completed a degree in computer science or a related field. These roles typically include job titles like software engineer, data analyst, IT support specialist, and web developer. Employers seek candidates with a solid foundation in programming, problem-solving skills, and the ability to quickly learn new technologies. These positions provide hands-on experience, mentorship, and opportunities for career growth in the technology sector.

What are the key skills and qualifications needed to thrive as a new graduate in computer science?

To thrive as a New Graduate in Computer Science, you need a solid grasp of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and basic knowledge of software development tools is essential. Problem-solving abilities, eagerness to learn, and effective teamwork are standout soft skills for success in entry-level roles. These skills and qualities are crucial for adapting to real-world technical challenges and contributing effectively to software development projects.

What are some common challenges new graduate computer science hires face during their first year on the job?

New graduate computer science hires often encounter challenges such as adapting to large, complex codebases, understanding company-specific development workflows, and bridging the gap between academic concepts and practical application. It's common to feel overwhelmed by the scale of real-world projects and the fast pace of agile development environments. Building effective communication skills and seeking mentorship from more experienced colleagues can help ease this transition and accelerate professional growth.

What is the difference between New Graduate Computer Science vs Software Developer?

AspectNew Graduate Computer ScienceSoftware Developer
Required CredentialsDegree in Computer Science or related fieldDegree often preferred; experience may substitute
Work EnvironmentEntry-level, training-focused, team collaborationDevelopment teams, project-based, coding-focused
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech companies, enterprise IT
Search & Comparison IntentUnderstanding entry-level roles, qualificationsJob responsibilities, skills, career path

In summary, a New Graduate Computer Science role typically refers to an entry-level position requiring a relevant degree and focuses on training and learning. A Software Developer may have similar qualifications but often involves more specific coding responsibilities and project work. Both roles are common in tech industries and serve as starting points for a career in software development.

What are popular job titles related to New Graduate Computer Science jobs in Ontario? For New Graduate Computer Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching New Graduate Computer Science jobs in Ontario look for? The top searched job categories for New Graduate Computer Science jobs in Ontario are:
What cities in Ontario are hiring for New Graduate Computer Science jobs? Cities in Ontario with the most New Graduate Computer Science job openings:
New Graduate Computer Science jobs near you
Infographic showing various New Graduate Computer Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Senior Data Scientist

Geotab

Oakville, ON • On-site

Other

Medical, Dental, Retirement

Re-posted 22 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 explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. 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 designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions, providing expert project leadership as a SME, and participating in cross-departmental projects establishing Geotab as a leader in data science. You will need to work closely with internal technical teams and external stakeholders to gather requirements.

To be successful in this role you will be a strong team-player with the ability to engage with all levels of the organization, and will possess strong analytical skills with the ability to problem solve to well-judged decisions. In addition, the successful candidate will have strong project management skill and be able to identify needs, develop effective solutions, and manage projects through to completion.

How you'll make an impact:

  • Implement new statistical or mathematical methodologies for specific models of data analysis.

  • Create algorithms and predictive models to extract information required to solve complex business problems.

  • Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.

  • Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization.

  • Use machine learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.

  • Test the performance of data-driven products and make recommendations for improving Geotab's product suite.

  • Collaborate with internal technical teams and external stakeholders to gather requirements.

  • Build production datasets and help customers solve business problems.

What you'll bring to the role:

  • Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).

  • 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.

  • A solid grasp of fundamental computer vision concepts, with 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 optimizing deployment across both cloud-based inference infrastructure (e.g., Ray, Vertex AI, Azure) and edge processing environments.

  • 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.

  • Familiarity with 3D reconstruction and LiDAR technologies is considered a strong asset. 

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 learn more about what happens with your personal data.

Apply