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Bs In Computer Science Jobs in Markham, ON (NOW HIRING)

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Requirements * 2-3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field. * Strong communication skills and experience working in ...

Requirements * 2-3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field. * Strong communication skills and experience working in ...

Requirements * 2-3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field. * Strong communication skills and experience working in ...

Bachelor's in computer science or master's in computer science (preferred) or related field * 3-6 years of relevant software engineering experience * Experience working in Agile teams * Top notch ...

What You Bring * BS in Computer Science, Electrical Engineering or equivalent experience. * 4+ years of experience in software testing or SDET roles. * High proficiency in computer technology and ...

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Bs In Computer Science information

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.

What are the key skills and qualifications needed to thrive with a BS in Computer Science?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

Are Bs in computer science majors still in demand?

A Bachelor of Science in Computer Science remains a highly in-demand degree, as software development, data analysis, cybersecurity, and IT roles continue to grow across various industries. Employers value skills in programming languages, problem-solving, and familiarity with tools like Python, Java, and cloud platforms, making graduates competitive in the job market.

What are popular job titles related to Bs In Computer Science jobs in Markham, ON?

For Bs In Computer Science jobs in Markham, ON, the most frequently searched job titles are:

What job categories do people searching Bs In Computer Science jobs in Markham, ON look for?

The top searched job categories for Bs In Computer Science jobs in Markham, ON are:

What cities near Markham, ON are hiring for Bs In Computer Science jobs?

Cities near Markham, ON with the most Bs In Computer Science job openings:

Infographic showing various Bs In Computer Science job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)

University of Toronto

Toronto, ON • On-site

CA$4.9K/wk

Full-time

Posted 29 days ago


Job description

Date Posted: 07/21/2026
Req ID: 49466
Faculty/Division: Faculty of Arts & Science
Department: Dept of Economics
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

Description:

Course Number and Title: 

MMF1922H1F: Data Science (Section LEC 0101)

Course Description:
Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines. The reason for the emergence is due to theoretical advances in machine learning, availability of big data, and surges in computational capabilities. This 8-week course provides an introductory overview of data science methods in finance, investments, and risk management. The course covers a review of foundational probability and statistics, brief introduction to machine learning (supervised learning, unsupervised learning) and big data tools.

Estimated course enrolment: 30

Estimated TA support: n/a

Class Schedule                                       Class Schedule: Thursday 6:00-9:00 pm

The delivery method for this course is in-person.

Sessional dates of appointment: September 10 - October 29, 2026

Salary (per section):

$4,998.74 Sessional Lecturer I

$5,349.61 Sessional Lecturer I - Long Term

$5,349.61 Sessional Lecturer II

$5,476.98 Sessional Lecturer II - Long Term

$5,476.98 Sessional Lecturer III

$5,614.45 Sessional Lecturer III - Long Term

 

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

  • Advanced degree in Mathematical Finance
  • Industry experience in data science and machine learning methods in finance
  • Prior experience teaching this course (or a similar course) at the university level
  • Ability and experience teaching large classes

Preferred qualifications:

  • Industry experience in big data and machine learning in finance

Description of duties:

  • Preparation and delivery of lectures in this course
  • Preparation, supervision and grading of tests and examinations in accordance with university regulations
  • Providing scheduled office hours for academic counseling of students

Application instructions:  

Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here: https://www.economics.utoronto.ca/index.php/index/recruiting/sessionalOpeningsForm.

Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact sessional.economics@utoronto.ca All applicants must have a valid email address.

Closing Date: 08/14/2026, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.