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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:

New

Deloitte

Data Science Manager

Toronto, ON

... Computer Science, or a related field is required. • BA/BSc degree in these fields will be ... data science, or AI/ML solutions. • Ability to understand the business significance of data ...

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 ...

New

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 ...

New

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 ...

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 ...

Targeted Talent

Data Scientist

Kitchener, 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 ...

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 ...

Targeted Talent

Data Scientist

Kitchener, 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 ...

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

Sr. 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, analytics, and machine learning algorithms, including ...

Numeris

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics ... The base pay range for this position is $120,000-$150,000 CAD/year, with an Annual Incentive Plan ...

Numeris

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics ... The base pay range for this position is $120,000-$150,000 CAD/year, with an Annual Incentive Plan ...

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Computer Science Data Science information

Can a computer scientist work in data science?

Yes, computer scientists often work in data science because they have strong programming, algorithms, and analytical skills essential for data analysis, machine learning, and statistical modeling. Many data scientists have backgrounds in computer science and use tools like Python, R, and SQL to analyze large datasets and develop predictive models.

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.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R and experience with machine learning tools can influence salary levels.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
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

Data Scientist, Applied Science

Future Secure AI

Other

Posted 2 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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