1

Best Paying Computer Science Jobs in Hamilton, ON

Advocate high-quality and best practices in software design and development; * Close interaction ... Computer Science, etc.); * Master's or Ph.D. is considered an asset; * 2+ years of direct ...

Our AI agents learn from your best human agents and improve with every interaction, helping ... Master's or PhD degree in Linguistics, Computational Linguistics, Computer Science, Machine ...

Data Scientist

Cambridge, ON ยท On-site

CA$600/day

... Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ... best practices โ€ข Experience with version control systems (e.g., Git) โ€ข Ability to design and ...

Drive adoption of best practices in prompt engineering, LLM evaluation, fine-tuning strategies, and ... D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a ...

Drive adoption of best practices in prompt engineering, LLM evaluation, fine-tuning strategies, and ... D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Data Science, or a ...

Compiler Tech Lead

Ottawa, ON ยท On-site

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

Compiler Tech Lead

Ottawa, ON ยท On-site

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

Compiler Tech Lead

Kitchener, ON ยท On-site

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

Compiler Tech Lead

Kitchener, ON ยท On-site

$170K - $190K/yr

Drive definition and adoption of best practices * Support roadmap development and recruiting ... MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing ...

... in Computer Science, Engineering, or related field (or equivalent experience) 7+ years of ... best practices and authentication (OAuth2, JWT) Experience supporting high-availability or mission ...

... in Computer Science, Engineering, or related field (or equivalent experience) 7+ years of ... best practices and authentication (OAuth2, JWT) Experience supporting high-availability or mission ...

next page

Showing results 1-20

Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What is the highest paying computer science job?

The highest paying computer science jobs are often executive roles such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), or specialized roles like Software Engineering Managers and Data Science Directors. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, with salaries often exceeding $150,000 annually and reaching into the high six figures or more in some industries.

What are popular job titles related to Best Paying Computer Science jobs in Hamilton, ON?

For Best Paying Computer Science jobs in Hamilton, ON, the most frequently searched job titles are:

What job categories do people searching Best Paying Computer Science jobs in Hamilton, ON look for?

The top searched job categories for Best Paying Computer Science jobs in Hamilton, ON are:

What cities near Hamilton, ON are hiring for Best Paying Computer Science jobs?

Cities near Hamilton, ON with the most Best Paying Computer Science job openings:

Infographic showing various Best Paying Computer Science job openings in Hamilton, ON as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Data Scientist

Ottawa, ON โ€ข On-site

Full-time

Medical, Dental, PTO

Re-posted 13 days ago


Job description

Job Summary
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.
Reporting To: Director of Technology
Salary Range: $80,000 to 95,000
Type of Vacancy: New
Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.
Key Responsibilities
  • Design and implement scalable, distributed AI/ML-based systems; 
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development; 
  • Close interaction with other team members on system integration and validation; 
  • Perform data analysis, visualization, and modelling with large datasets;
  • Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders;
  • Perform data acquisition, cleaning, and transformation; 
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and     
  • customers; and,
  • Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  
Expected qualifications include:
  • University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Experience in a client facing role, regularly meeting client demands;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python; 
  • Strong communication skills; 
  • Ability to work in a dynamic, fast-paced work environment; 
  • Organized and focused; and, 
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
Technical Skill Requirements, working knowledge of: 
  • Python;
  • Machine Learning and Data Mining;  
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);   
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting. 
Preferred Technical Skills: 
  • MLOps (e.g., Kubeflow); 
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); 
  • Software Unit Testing (e.g., Python Unittest); 
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
  • Data Visualization (e.g., matplotlib, seaborn, streamlit); 
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and, 
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).
Preferred Client Skills: 
  • Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
  • Strong interpersonal and relationship-management skills;
  • Strong active-listening skills and the ability to translate business needs into data science solutions;
  • Experience managing client expectations while balancing project scope, timelines, and priorities; and
  • Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
Benefits 
  • Competitive compensation package; $80,000-95,000
  • Comprehensive Health and Dental insurance package; 
  • Competitive vacation and paid time off; 
  • Company-sponsored team-building events; and
  • Learning and development opportunities. 

About Larus
Larus Technologies Corporation (http://www.larus.com ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ 
We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 
We thank all applicants; however, only those selected for an interview will be contacted.  
At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.  
Larus has an accommodation process and provides accommodation for applicants with disabilities.  If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com

Powered by JazzHR

i8NDPV01xh