1

Bs Computer Science Jobs in Ontario (NOW HIRING)

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

Bachelor', Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data Scientist including internships or coops, with a strong focus on ...

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 ...

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred How We Work Vanguard has ...

Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. Preferred: Prior experience in payments, financial services, or ...

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied statistics ...

Knowledge of GPU Programming / Architecture Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering ...

New

FrontEnd CMA (CAD) Engineer

Toronto, ON · Hybrid

CA$99K - CA$135K/yr

Education BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent proven experience. Additional Information Please note that no relocation package ...

Showing results 41-60

Bs Computer Science information

What is a BS in Computer Science?

A BS in Computer Science is a Bachelor of Science degree that focuses on the theoretical foundations and practical applications of computing and programming. Students learn about algorithms, data structures, software development, computer systems, and sometimes topics like artificial intelligence, cybersecurity, and databases. Graduates are prepared for careers in software engineering, IT, research, or for further study in graduate programs. The degree generally takes about four years to complete and combines coursework, projects, and sometimes internships to provide a comprehensive understanding of computer science.

What types of entry-level roles are commonly available to graduates with a BS in Computer Science, and how can I identify which path aligns with my interests?

Graduates with a BS in Computer Science often find entry-level opportunities as software developers, QA engineers, data analysts, IT support specialists, or web developers. To determine which path best suits your interests, consider the subjects you enjoyed most during your studies, such as programming, databases, or networking, and look for roles that emphasize those skills. Internships, personal projects, and participation in coding communities can also provide valuable insight into various specializations, helping you make a more informed decision as you start your career.

What are the key skills and qualifications needed to thrive as a Computer Science graduate, and why are they important?

To thrive as a Computer Science graduate, you need strong analytical thinking, programming proficiency, and a solid grasp of algorithms and data structures, typically supported by a bachelor's degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are highly valued. Effective problem-solving, teamwork, and communication skills help you excel in collaborative and dynamic tech environments. These capabilities enable you to design, develop, and maintain robust software solutions that meet real-world needs.

What is the difference between Bs Computer Science vs Bs Information Technology?

AspectBs Computer ScienceBs Information Technology
Core FocusProgramming, algorithms, software development, theoretical foundationsIT infrastructure, network management, systems administration
CertificationsComputer Science-related certifications (e.g., Cisco, Microsoft)IT certifications (e.g., CompTIA, Cisco)
Work EnvironmentSoftware companies, tech startups, research labsCorporate IT departments, network operations centers
Industry UsageSoftware development, research, academiaIT support, network management, system administration

While both degrees prepare students for tech careers, Bs Computer Science emphasizes programming and software development, whereas Bs Information Technology focuses on managing and supporting IT systems and networks. Your choice depends on whether you prefer coding and software design or IT infrastructure management.

What can I do with a bachelor of science in computer science?

A Bachelor of Science in Computer Science prepares graduates for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages like Java, Python, or C++ and familiarity with tools like Git and Linux.

What jobs do most Bs Computer Science majors get?

Most Bachelor of Science in Computer Science graduates find jobs as software developers, web developers, systems analysts, database administrators, and network administrators. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL. Many also pursue positions in cybersecurity, IT support, or data analysis depending on their interests and certifications.

Which job is best after a bachelor of science in computer science?

Common career options after a BSc in Computer Science include software developer, data analyst, systems analyst, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of databases, and familiarity with tools like Python, Java, or SQL, often supplemented by relevant certifications or internships.

What are popular job titles related to Bs Computer Science jobs in Ontario?

For Bs Computer Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Bs Computer Science jobs in Ontario look for?

The top searched job categories for Bs Computer Science jobs in Ontario are:

What cities in Ontario are hiring for Bs Computer Science jobs?

Cities in Ontario with the most Bs Computer Science job openings:

Infographic showing various Bs Computer Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

Senior Manager, Marketing Science & Analytics

Scotiabank

Toronto, ON • On-site

Full-time

Re-posted 14 days ago


Job description

Requisition ID: 268479 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose 

The Senior Manager, Marketing Analytics provides leadership in the development, delivery, and continuous improvement of marketing analytics capabilities that support data-driven marketing decisions across global marketing functions. Reporting to the Director, Global Advanced Analytics & Insights in Marketing, this role leads a portfolio of analytics work spanning marketing measurement, campaign performance, audience strategy, personalization, forecasting, and business insights. The role sits at the intersection of marketing strategy, banking economics, data, and analytics, translating complex client, product, channel, and campaign data into clear recommendations that improve marketing effectiveness, customer value, and business outcomes.


Is this role right for you? In this role, you will be involved in: 

  • Marketing Analytics Strategy & Delivery: Lead the planning and delivery of marketing analytics initiatives across campaigns, channels, products, and customer segments. Translate business priorities into analytical roadmaps, manage intake and prioritization, and ensure timely delivery of high-quality insights and recommendations.
  • Marketing Measurement & Advanced Analytics: Oversee measurement frameworks including Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), incrementality, experimentation, campaign effectiveness, and ROI analysis. Apply statistical and machine learning techniques where appropriate to improve measurement quality, scalability, and business relevance.
  • Marketing Optimization & Decision Science: Develop analytical frameworks and recommendations to improve allocation of marketing investment across channels and audiences. Leverage experimentation, uplift modelling, forecasting, and performance measurement to continuously improve campaign effectiveness and ROI.
  • Data Product & Reporting Enablement: Partner with data, technology, BI, and engineering teams to develop repeatable analytics products, dashboards, data assets, and standardized reporting frameworks. Drive reuse, documentation, automation, and governance of analytical approaches.
  • Client & Economic Insights: Champion a practical understanding of banking economics, customer value, profitability, and lifetime value. Convert client, portfolio, loyalty, and campaign data into actionable insights that inform marketing strategy and investment decisions.
  • Audience Strategy & Personalization: Lead audience analytics capabilities including segmentation, targeting, lookalike modelling, next-best-action support, and personalization insights for digital, paid media, and direct marketing activation.
  • Stakeholder Collaboration & Influence: Partner closely with Marketing, Product, Digital, Channel, Finance, and Analytics stakeholders to frame business questions, align on success measures, and communicate findings in a clear, executive-ready manner to senior leadership and non-technical audiences.
  • People Leadership, Innovation & Continuous Improvement: Lead, coach, and develop marketing analytics talent while identifying opportunities to improve analytics processes through automation, AI-enabled workflows, experimentation, and best-practice methods. Promote a culture of measurement, learning, and continuous improvement.

Do you have the skills that will enable you to succeed? We'd love to work with you if you have the following: 

   Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering.

   8+ years of progressive experience in marketing analytics, advanced analytics, data science, business insights, or a related quantitative field.
   Experience in financial services or banking preferred, with strong understanding of customer economics, product performance, and marketing effectiveness.
   Proven track record leading marketing analytics initiatives such as MMM, MTA, incrementality testing, campaign measurement, segmentation, forecasting, personalization, or ROI analysis.
   Experience leading teams, managing priorities, and delivering executive-ready recommendations to senior stakeholders in a complex business environment.
   Experience partnering with cross-functional teams including Marketing, Product, Digital, Finance, Data Engineering, BI, Technology, and Data Science.

Technical & Analytical Skills:

   Expert knowledge of experimentation and marketing measurement techniques.
   Strong familiarity with BI and data visualization tools (e.g., Power BI preferred).
   Experience working with large-scale data environments and cloud platforms (e.g., AWS, Azure, GCP).
   Ability to translate complex analytical findings into clear, concise, and actionable business recommendations for both technical and non-technical audiences.

Leadership & Communication:

   Exceptional leadership, team-building, and mentorship skills.
   Excellent written and verbal communication skills, with a proven ability to influence and persuade at all levels of an organization.
   Strong collaborative skills, with experience guiding technical roadmaps and partnering effectively with engineering and business teams.

                                        
Working Conditions


   Work in a standard office-based environment; role based in Toronto office.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.