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Computer Science New Grad Jobs in Toronto, ON (NOW HIRING)

Braze

Forward-Deployed Data Scientist

Toronto, ON

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... You stay current with industry trends, explore new tools/technologies, and thrive in environments ...

Quincus

Machine Learning Engineer

Toronto, ON

To achieve this, we're working on projects that utilize the latest computer science techniques ... new projects and focuses that meet the demands of the world's fast-paced business needs. Job ...

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field ... You stay current with industry trends, explore new tools/technologies, and thrive in environments ...

DAC Group

Senior Data Scientist

Toronto, ON

Drive new business development by contributing to pitches, proposals, and thought leadership ... Computer Science, or related quantitative field * 4-5 years of hands-on experience in applied ...

MasterCard

Data Scientist II

Toronto, ON

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ... and apply new technologies, staying current with industry trends and advancements Good ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

S degree in Statistics, Engineering, Computer Science or a related field 3+ years of relevant work ... new technologies and products, and doubling down on top talent to drive the company forward. We ...

Canadian Tire

Senior Data Scientist

Toronto, ON · On-site

S degree in Statistics, Engineering, Computer Science or a related field 3+ years of relevant work ... new technologies and products, and doubling down on top talent to drive the company forward. We ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a research scientist working on Learnable Planner, you will invent new AI technologies that ... Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Autodesk

Senior Data Scientist

Toronto, ON · On-site

Collaborate with product owners and other stakeholders to shape new data product ideas or ... computer science, statistics, or a related quantitative field * Advanced Python and SQL skills ...

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All JobsComputer Science New Grad JobsComputer Science New Grad Jobs in Toronto, ON

Computer Science New Grad information

See Toronto, ON salary details

$21K

$63.4K

$115.5K

How much do computer science new grad jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer science new grad in Toronto, ON is $63,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,513.00 and $81,118.00 per year, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to Computer Science New Grads in their first role?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

How to make 10,000 a month with no degree?

A computer science new graduate can potentially earn $10,000 a month by developing high-demand skills such as software engineering, data analysis, or cybersecurity, and working as a freelancer, consultant, or in high-paying remote roles. Building a strong portfolio, gaining certifications, and leveraging platforms like Upwork or LinkedIn can help access lucrative opportunities without a degree.

What professions make 200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can reach or exceed $200,000 annually through experience, specialized skills, and certifications like AWS or Cisco. Sales, real estate, and entrepreneurial ventures also have potential for high income without a formal degree, often relying on performance, networking, and business acumen.

What are the key skills and qualifications needed to thrive in the Computer Science New Grad position, and why are they important?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What is a Computer Science New Grad job?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

Are new CS grads getting jobs?

New computer science graduates often find entry-level positions in software development, data analysis, and related fields, especially when they have strong programming skills and internships. Job availability can vary based on economic conditions, location, and individual qualifications, but many employers actively seek recent grads with foundational knowledge in programming languages and problem-solving abilities.

What jobs can you land as a new grad with a computer science degree?

As a new graduate with a computer science degree, common entry-level roles include software developer, quality assurance tester, technical support specialist, data analyst, and systems analyst. These positions typically require knowledge of programming languages, problem-solving skills, and familiarity with tools like Git and SQL. Opportunities are available across industries such as technology, finance, healthcare, and consulting.
What are the most commonly searched types of Computer Science New Grad jobs in Toronto, ON? The most popular types of Computer Science New Grad jobs in Toronto, ON are:
What are popular job titles related to Computer Science New Grad jobs in Toronto, ON? For Computer Science New Grad jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Computer Science New Grad jobs in Toronto, ON look for? The top searched job categories for Computer Science New Grad jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science New Grad jobs? Cities near Toronto, ON with the most Computer Science New Grad job openings:
Computer Science New Grad jobs near you
Infographic showing various Computer Science New Grad job openings in Toronto, ON as of July 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $63,364 per year, or $30.5 per hour.
Forward-Deployed Data Scientist

Forward-Deployed Data Scientist

Braze

Toronto, ON

CA$125K - CA$188K/yr

Other

Re-posted 10 days ago

Job description

 
WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

  • Collaborate with customer Analytics/BI teams and BrazeAI colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred
  • Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
  • Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
  • Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
  • Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
  • Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
  • Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
  • Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$125,000 - CA$188,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

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