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Computer Science Data Science Jobs in Ontario (NOW HIRING)

Future Secure AI

Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform's capabilities * Experimentation & A/B Testing:

CookUnity

Director, Data Science/ML

Toronto, ON

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

CookUnity

Director, Data Science/ML

Toronto, ON

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Amaris Consulting

Data Science expert

Toronto, ON · Hybrid

We are looking for a Data Science Expert to support the development of advanced data and analytics solutions within a highly regulated manufacturing environment. The successful candidate will work ...

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 required; Master's or PhD in a relevant technical discipline preferred * Experience: 3-5+ years of ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Ottawa, ON

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field. * 5+ years of hands on industry experience in developing probabilistic models ...

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 required; Master's or PhD in a relevant technical discipline preferred * Experience: 3-5+ years of ...

Manulife

Senior Data Scientist - GenAI

Toronto, ON · Hybrid

D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including ...

Sun Life Financial

Senior Data Scientist

King, ON

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Ontario

Computer Science Data Science information

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
What are popular job titles related to Computer Science Data Science jobs in Ontario? For Computer Science Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Ontario look for? The top searched job categories for Computer Science Data Science jobs in Ontario are:
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Data Scientist, Applied Science

Future Secure AI

On-site

Other

Posted 22 days ago

Job description

About the Role

We are seeking a highly motivated and talented Sr. Data Scientist to join our core Platform Team in Austin, Texas. As an Applied Scientist, you will be a key contributor to the development and improvement of the AI models that power FutureSecure.ai's proactive intelligence capabilities. You'll work alongside a team of experienced engineers and scientists, applying machine learning, data mining, and statistical analysis to build, deploy, and optimize our platform for seamless human-AI collaboration. This is a chance to be at the forefront of intelligent interactions and shape the future of work.

Responsibilities

  • Model Development & Innovation: Evaluate machine learning models for understanding user intent, predicting workflow needs, and enhancing collaboration between people and AI. This includes exploring new algorithms, techniques, and data sources
  • Data Mining & Feature Engineering: Extract, clean, and analyze large volumes of interaction data from various sources to identify patterns and develop impactful features for our AI models. This will focus on understanding how people work alongside AI systems
  • Model Deployment & Monitoring: Collaborate with engineering teams to deploy machine learning models into production environments and continuously monitor their performance, identifying areas for improvement and retraining
  • Research & Exploration: Stay abreast of the latest advancements in machine learning, data science, and human-computer interaction, and apply them to enhance our platform's capabilities
  • Experimentation & A/B Testing: Design and conduct experiments to evaluate the effectiveness of new models and features, using rigorous A/B testing methodologies to optimize for user experience and collaboration
  • Collaboration & Communication: Effectively communicate technical findings and insights to both technical and non-technical audiences. Collaborate closely with engineers, user experience researchers, and product managers
  • Contribution to Platform Architecture: Work with the Platform Team to ensure model integration, scalability, and efficiency within the overall architecture of FutureSecure.ai
  • Proactive Intelligence Analysis: Leverage data to understand how people interact with AI, anticipating needs and proactively offering support and insights

Minimum Qualifications

  • 5+ years of experience as an Applied Scientist, Data Scientist, or Machine Learning Engineer
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • Strong proficiency in machine learning algorithms (e.g., regression, classification, clustering, deep learning)
  • Experience with programming languages such as Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data mining, data cleaning, and feature engineering
  • Strong analytical and problem-solving abilities
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
  • Experience with cloud computing platforms (AWS, Azure, GCP)

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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