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Psychology Computer Science Jobs in Ontario (NOW HIRING)

Achievers

Data Scientist

Toronto, ON · On-site

People Analytics) or knowledge of Organizational Psychology is highly desirable. Bonus: * PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field

Health Sciences North

Psychologist

Sudbury, ON · On-site

CA$61.50 - CA$79.74/hr

Provide supervision, training, and orientation for new psychology staff and students. * Encourage ... Demonstrated excellent computer skills with proficiency in Microsoft Office software, (e.g. Word ...

Esf

... computer science background. * Design human-AI collaboration frameworks for the classroom that ... Psychology, or a closely related field. * Core Foundation: A strong academic background in learning ...

ADM Talent

Digital Marketing Specialist

Toronto, ON · On-site +1

... computer science or at least five years of related work experience in online marketing Strong ... behavioural psychology / customer segmentation Experience presenting and quantitatively ...

The City of Guelph

The City of Guelph

Guelph, ON · Hybrid

CA$53.38 - CA$66.72/hr

Post-secondary education in Business, Communications, Computer Science, Engineering, Psychology, Sociology or other relevant disciplines. * Prosci certification or a comparable change management ...

York Region

Solutions Architect

Newmarket, ON · On-site

... of Psychological Health and Safety in the Workplace - aligned with our vision to create strong ... WHAT WE'RE LOOKING FOR Successful completion of a University Degree in Computer Science ...

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All JobsPsychology Computer Science JobsPsychology Computer Science Jobs in Ontario

Psychology Computer Science information

See Ontario salary details

$20.5K

$66.5K

$136K

How much do psychology computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for psychology computer science in Ontario is $66,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $89,500.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for professionals working in psychology computer science?

Psychology Computer Science professionals often work on projects that integrate behavioral research with computational modeling, such as developing user-centered software, building cognitive simulations, or analyzing large datasets from psychological studies. Daily tasks may include designing experiments, coding algorithms to process behavioral data, and collaborating with psychologists, data scientists, and software engineers. Many roles also involve testing and improving products for usability and accessibility, applying insights from human cognition. These responsibilities allow you to leverage both technical and psychological expertise to solve real-world problems involving human-computer interaction.

What is a psychology computer science?

A Psychology Computer Science job combines principles from psychology and computer science to study human behavior, design user-friendly technology, and develop AI systems that understand cognition. Professionals in this field work on areas such as human-computer interaction, artificial intelligence, cognitive modeling, and mental health technology. They apply psychological theories to improve user experiences, design adaptive systems, and analyze data related to human behavior. These roles are common in UX research, AI development, and neuroscience applications.

What are the key skills and qualifications needed to thrive in the psychology computer science position, and why are they important?

To thrive in Psychology Computer Science, you need a strong background in both psychological theories and computational methods, often supported by a relevant degree such as cognitive science, psychology, computer science, or a combination thereof. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experiment design software is typically required. Critical thinking, effective communication, and collaboration skills are especially valuable for bridging interdisciplinary teams and interpreting complex data. These competencies enable professionals to design, analyze, and implement technology solutions informed by human behavior and mental processes.

What job categories do people searching Psychology Computer Science jobs in Ontario look for? The top searched job categories for Psychology Computer Science jobs in Ontario are:
Psychology Computer Science jobs near you
Infographic showing various Psychology Computer Science job openings in Ontario as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $66,534 per year, or $32 per hour.

Data Scientist

Achievers

Toronto, ON • On-site

Full-time

Medical, Life, PTO

Re-posted 2 days ago

Job description

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale.We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft.
 
In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience. 
 
We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software. 
Why you'll love this role:
  • Lead high-impact initiatives that shape how millions of people experience work around the world.
  • Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members.
  • Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
  • Work alongside an experienced leadership team who is genuinely invested in your career growth.
  • Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.
How you'll shape Data Science at Achievers:
  • Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office. 
  • Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices. 
  • Work with the Workforce Science team to push the boundaries on what is known about the "how" and "why" of the ways people work and interact with their peers. 
  • Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions. 
  • Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics. 
  • Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions. 
  • Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring. 
  • Bring an "A-Player" attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness - you're a team-player 
Experience we feel will set you up for success:
  • Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred 
  • 3+ years of experience analyzing product's data, building AI/ML algorithms or making product focused impact with Data Science. 
  • Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML. 
  • Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling. 
  • Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL. 
  • Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools. 
  • Experience working in social networks, recommender systems and/or NLP applications 
  • Have deployed models to production with an engineering team. 
  • Excellent communication - written, conversational, presentation, and data-visualization. 
  • Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science. 
  • Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable. 
Bonus: 
  • PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field 
  • Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks 
Why Achievers is a Great Place to Work
 
At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We're a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we're inspiring recognition everywhere.
 
Our Approach to Total Rewards
 
$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. We're committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.
 
Benefits and Perks for permanent full-time employees: 
  Rewards for your impact through our Recognition and Rewards program 
  Health Benefits and Life Insurance Coverage beginning on your first day 
  Parental Leave Top-up 
  Employer matched RRSP contributions 
  Flexible Vacation to recharge, so you can bring your best
  Employee and Family Assistance Program offering mental health, legal, and financial counselling
  Supported professional development and career growth (Linkedin Learning, mentorship)
  Employee-Led Employee Resource Groups that celebrate our diversity 
  Regular events designed to build connection, belonging, and well-being  
 Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office 
 
Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. We encourage qualified candidates from all backgrounds and experiences to apply.
 
Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.
We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. We believe in a human-first approach to hiring, where your experience, personality, and potential are recognized by people, not algorithms, and where final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.
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