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Computer Science Jobs in Alberta (NOW HIRING)

Senior Data Scientist

Calgary, AB ยท Hybrid

CA$160K - CA$184K/yr

Master's or PhD in Computer Science, Physics, Statistics, Mathematics, or a related quantitative field preferred. * Communication: Exceptional ability to effectively communicate complex technical ...

C++ Developer

Calgary, AB ยท On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Edmonton, AB ยท On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Calgary, AB ยท On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Edmonton, AB ยท On-site +1

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

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Showing results 1-20

Computer Science information

See Alberta salary details

$20K

$67.5K

$141K

How much do computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science in Alberta is $67,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

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

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Alberta? The most popular types of Computer Science jobs in Alberta are:
What are popular job titles related to Computer Science jobs in Alberta? For Computer Science jobs in Alberta, the most frequently searched job titles are:
What cities in Alberta are hiring for Computer Science jobs? Cities in Alberta with the most Computer Science job openings:
Infographic showing various Computer Science job openings in Alberta as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $67,538 per year, or $32.5 per hour.

Machine Learning Engineer (BFSI) - MLEBAS

NavitasPartners

Leduc, AB โ€ข On-site

CA$30/hr

Full-time

Posted 4 days ago


Job description

Job Title: Machine Learning Engineer (BFSI)

Position Overview:
The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.

Key Responsibilities:

  • Develop machine learning models and pipelines.
  • Build feature engineering frameworks.
  • Deploy production-grade ML solutions.
  • Optimize model performance and scalability.
  • Collaborate with data scientists and business teams.
  • Implement model monitoring and governance.

Required Skills:

  • Python
  • Machine Learning
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • Spark ML
  • Feature Engineering
  • Model Deployment
  • SQL

Required Qualifications:

  • Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
  • 5+ years of machine learning experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.

For more details reach at resumes@navitassols.com