toronto, on stage data scientist Jobs – 49 Openings This Week

Data Scientist
Penguin Random House Canada Limited —Toronto, ON
- $69,056–$90,000 a year
- Computer science
- Doctoral degree
- Computer Science
5d
Bioinformatics Analyst
DNAstack —Toronto, ON
- $100,000–$150,000 a year
- Full-time
- Remote
- Azure
- Engineering
- Laboratory experience
- Dental care
- Vision care
Quick apply
1h
Founding Data Scientist, Analytics
GPTZero —Toronto, ON
- $120,000–$185,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- SQL
- Dental care
- Paid time off
Senior Data Scientist I
Relay —Toronto, ON
- $133,200–$162,800 a year
- Full-time
- Hybrid work
- SQL
- Python
R&D Scientist I (Montreal)
Eli Health —Toronto, ON
- Full-time
- Remote
- Engineering
- Laboratory experience
- Master's degree
- Dental care
- Vision care
Data Scientist
Aviva —Markham, ON
- $80,000–$120,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Applied AI Scientist (Hybrid)
Homebase —Toronto, ON
- $108,000–$130,000 a year
- Full-time
- Hybrid work
- SQL
- Machine learning
- AI
- Designated paid holidays
- Disability insurance
Scientist I, CSI Development and Implementation Strategy
BlueRock Therapeutics —Toronto, ON
- $110,000–$120,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Senior Data Scientist
Celestica —Toronto, ON
- Remote
- Azure
- SQL
- Machine learning
Research Assistant (SRI) - Evaluative Clinical Sciences - Regular Full-time 2026-16575
Sunnybrook Health Sciences Centre —Toronto, ON
- Full-time
- Microsoft Office
- Bachelor's
- No university degree
Quick apply
Staff Data Scientist
Purpose Unlimited —Toronto, ON
- Full-time
- Hybrid work
- SQL
- AI
- Python
- Dental care
- Life insurance
Quick apply
Senior R&D Data Scientist
Triton Digital Canada Inc. —Toronto, ON
- Full-time
- Computer Science
- Master's degree
- Bachelor's
- Employee assistance program
Research Analyst (SRI) - Evaluative Clinical Sciences - Regular Part-time 2026-17121
Sunnybrook Health Sciences Centre —Toronto, ON
- Part-time
- Research
- Master's degree
- Analysis skills
Quick apply
Research Coordinator - Shkaabe Makwa
CAMH —Toronto, ON
- $37.51–$50.60 an hour
- Full-time
- Bilingual
- Microsoft Word
- Microsoft Excel
6d
Scientist - Centre for Youth Bipolar Disorder
CAMH —Toronto, ON
- $120,472.10–$180,708.14 a year
- Full-time
- Bilingual
- Doctoral degree
- English
- Dental care
Scientific Associate - Brain Health Imaging Centre
CAMH —Toronto, ON
- $91,758.17–$137,637.25 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Dental care
2d
Research Analyst II
University Health Network —Toronto, ON
- $32.59–$48.89 an hour
- Full-time
- SQL
- Bachelor's
- Computer skills
Quick apply
9d
Senior Research Associate Well Living House
Unity Health Toronto —Toronto, ON
- $45.34–$56.67 an hour
- Temporary
- Doctoral degree
- Research
- Organizational skills
9d
Senior Data Scientist (Reinforcement Learning)
Plusgrade —Toronto, ON
- $120,000–$147,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
- Paid time off
Quick apply
Flavor Scientist
New School Foods —Toronto, ON
- $80,000–$95,000 a year
- Full-time
- Laboratory experience
- English
- Analysis skills
Quick apply
13d

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stage data scientist jobs near toronto, on

Data Scientist

Penguin Random House Canada Limited -
Toronto, ON

Apply Now

Job details

$69,056–$90,000 a year
5 days ago

Qualifications

Statistics
Computer science
Statistics
Doctoral degree
Computer Science
R
Git
Microsoft Office
Master's degree
SQL
Bachelor's
Machine learning
Linux
AI
Communication skills
Python
Shell Scripting
Data Science
Time management

Full job description

Data Scientist

Location: 320 Front Street, Toronto, Ontario. In office (minimum three days per week; dependent on role)

Posting Type: This posting is for an existing vacancy, and we are actively accepting applications.

Expected Compensation: The starting salary range for this position is expected to be between $69,056 and $90,000; however, compensation will be determined based on experience.

Changing the world, one book at a time.

As a team of dedicated book-loving professionals, we discover, shape, and share content that nurtures thoughts, dreams, and conversations around the globe, ensuring that new and established voices are heard.

We’re looking for a curious, analytical, and impact-driven Data Scientist to join our insights & analytics team.

Do you love untangling difficult analytical questions? Are you excited to see complex analytical and data science projects from requirement gathering to product deployment? Are you passionate about books and reading, and curious about the opportunity to work for the largest publisher in Canada?

If so, consider joining Penguin Random House Canada on an exciting journey as we turn data into meaningful insights for our colleagues, customers, authors, and readers.

Your contribution to the story:

At Penguin Random House Canada, you’ll be part of a vibrant and growing company that is home to acclaimed authors such as Margaret Atwood, Cherie Dimaline, Chris Hadfield, Zadie Smith, Naomi Klein, Colson Whitehead, Salman Rushdie, Sarah Polley, Jody Wilson-Raybould, Emily Henry, Cormac McCarthy, Celeste Ng and John Irving, among many other brilliant writers.

The insights & analytics team strives to make Penguin Random House Canada the most data-driven book publisher in the industry, connecting our authors and books to as many readers as possible. We take advantage of a mature data warehouse, state-of-the-art cloud infrastructure, and reliable IT partners to deploy and maintain machine learning models that speak directly to our business needs. We use a modern tech stack to accelerate our work as much as possible without sacrificing quality.

Reporting to the Director of Data Science, you will work closely with the entire insights & analytics team to deliver impactful analysis, build predictive models, and develop self-serve tools that empower employees in all areas of our business to make informed decisions.

What you’ll do:

Design, build, test, and deploy machine learning models that generate practical recommendations and support business decision-making for key stakeholders.

Monitor production tools, models, and pipelines; identify performance issues; and recommend improvements to increase reliability, accuracy, and impact.

Analyze large and varied datasets to identify trends, patterns, risks, and opportunities that inform model development and business strategy.

Communicate findings, recommendations, and technical concepts clearly and persuasively to audiences with different levels of data fluency.

Build dashboards, reports, and self-serve tools that make insights accessible, actionable, and easy to use across the business.

Work closely with colleagues across Penguin Random House Canada and other territories to share ideas, align on best practices, and develop scalable solutions.

Experience and knowledge you’ll bring (qualifications):

Required:

Undergraduate or graduate degree in a quantitative discipline such as Statistics, Economics, Engineering, or Computer Science; or equivalent experience.

Strong probability and statistics fundamentals, including the abilities to think probabilistically, quantify uncertainty, and identify sources of bias in datasets.

Theoretical and practical knowledge about machine learning algorithms, including the ability to choose an appropriate model for a given problem, prevent overfitting, and identify potential failure points.

Demonstrated proficiency using Python and/or R for data analysis and data science.

Demonstrated proficiency using SQL to interrogate large and complex data sets.

Demonstrated ability to identify and deliver analytical and/or data science products that meet stakeholder needs.

Ability to clean and synthesize data sources of varying quality.

Strong communication and information design skills.

Experience using Git for version control.

Proficiency with Microsoft Office Suite and collaborative digital tools including Teams and similar platforms.

Strong organization and time management skills that allow you to prioritize your objectives and meet all deadlines.

A proactive mindset coupled with an ability to work both independently and as part of a larger team.

An inclusive approach, supported by cultural competency and a proven ability to collaborate with people from across a wide range of diverse backgrounds.

A genuine enthusiasm for books and reading, with a strong interest in the publishing industry and connecting people to stories, authors, and ideas.

Preferred:

2+ years of professional experience in machine learning or applied data science.

Advanced degree (M.Sc., Ph.D.), or equivalent practical experience, in a quantitative discipline.

Experience using cloud platforms for machine learning development.

Experience with containerization and container orchestration.

Experience using AI coding agents (e.g. Claude Code) to facilitate development work where appropriate.

Knowledge of the Linux command line and shell scripting.

This role is expected to work at least three days per week from our office located at 320 Front Street West, Toronto, ON. Therefore, candidates should reside within the commuting distance of our office.

To apply, please submit a cover letter and resume by Friday, June 12, 2026. We appreciate the interest of all applicants; however, only those candidates selected for an interview will be contacted.

We are actively seeking to add team members from communities with lived experiences of marginalization and underrepresentation. We respect and value each individual and their lived experiences and are committed to creating a more diverse team and establishing a culture of belonging. If you self-identify as Black, Indigenous, a person of colour, a member of the LGBTQIA2S+ community or another marginalized group, we strongly encourage you to apply.

Please contact Human Resources at [email protected] or 416-364-4449 if you need accommodation at any stage of the application process or want more information on our accommodation policies.

We do not use artificial intelligence to screen or assess applicants. However, we may use artificial intelligence (AI) tools to support parts of the hiring process, such as supporting administrative aspects of the recruitment process. These tools assist our recruitment team but do not replace human judgment at any part of the process. If you would like more information about how your data is processed, please contact us.

Company: Penguin Random House Canada Limited | Job ID: 289401

Apply Now

Refine Your Search

stage data scientist jobs in toronto, on

Data Scientist

Bioinformatics Analyst

Founding Data Scientist, Analytics

Senior Data Scientist I

R&D Scientist I (Montreal)

Data Scientist

Applied AI Scientist (Hybrid)

Scientist I, CSI Development and Implementation Strategy

Senior Data Scientist

Research Assistant (SRI) - Evaluative Clinical Sciences - Regular Full-time 2026-16575

Staff Data Scientist

Senior R&D Data Scientist

Research Analyst (SRI) - Evaluative Clinical Sciences - Regular Part-time 2026-17121

Research Coordinator - Shkaabe Makwa

Scientist - Centre for Youth Bipolar Disorder

Scientific Associate - Brain Health Imaging Centre

Research Analyst II

Senior Research Associate Well Living House

Senior Data Scientist (Reinforcement Learning)

Flavor Scientist

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