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Data Science Project Manager Jobs in Ontario (NOW HIRING)

Manager, Data Science

Toronto, ON · Hybrid

CA$90K - CA$100K/yr

Own end-to-end delivery of data science projects, including scoping, data collection, model ... Manage and mentor analyst-level team members, providing direction on analytical tasks and reviewing ...

We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns ... Maintain a balance between building sustainable, high-impact projects and shipping quickly * Lead ...

Lead data science projects focused on cyber analytics and fraud detection that will guide strategic ... Experienced in data management and data mining with SQL, optimizing performance, building data ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience.

Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ... management activities. * Understand how assigned projects support broader business strategy ...

Manager, Data Science

Toronto, ON · Hybrid

CA$173K - CA$197K/yr

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Data Science About Capital One Canada For 30 years, we've been on a mission to change banking for good. We challenge the traditional ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Credit Risk Expert & Strategic Builder We are looking for a hands-on, data-obsessed Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical frameworks that ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Senior Data Scientist

Toronto, ON · On-site

CA$90K - CA$160K/yr

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and ...

Ability to manage, influence, negotiate, and inspire others in a fast-moving environment ... Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and ...

Exceptional attention to detail, specifically in accuracy of calculations and completeness of data ... environment managing building science or structural restoration projects and/or teams. * Valid ...

Data Scientist

Woodbridge, ON · On-site

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation ... Organizational skills and time management skills; planning and project management, and ability to ...

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Data Science Project Manager information

See Ontario salary details

$30K

$119.9K

$178.5K

How much do data science project manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science project manager in Ontario is $119,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are popular job titles related to Data Science Project Manager jobs in Ontario?

For Data Science Project Manager jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Science Project Manager jobs in Ontario look for?

The top searched job categories for Data Science Project Manager jobs in Ontario are:

Infographic showing various Data Science Project Manager job openings in Ontario as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $119,929 per year, or $57.7 per hour.

Building Science Project Manager

Salas O'Brien Canada Inc.

Toronto, ON • On-site

CA$90K - CA$110K/yr

Full-time

Re-posted 8 days ago


Job description

Building Science Project Manager, Toronto, ON

Our Toronto office is seeking an experienced and motivated Building Envelope Project Manager to lead building envelope restoration projects, reserve fund studies, and building condition assessments from initial investigation through design, contract administration, and completion. Responsibilities include preparing detailed reports and specifications, developing accurate cost estimates, and overseeing on-site construction reviews to ensure quality and compliance. The role also involves coordinating with clients, consultants, and contractors to deliver practical, cost-effective, and sustainable solutions.

The Building Science team in Toronto is recognized for delivering innovative and reliable results for both new and existing buildings across residential, commercial, institutional, and industrial sectors. Areas of expertise include the assessment, repair, and replacement of roofing systems, façades, glazing systems, waterproofing, and other building envelope components. This position offers the opportunity to contribute to a collaborative and supportive team dedicated to improving the performance, durability, and value of the buildings served.

Typical Duties

  • Conduct site investigations and evaluations of existing building and structures
  • Prepare technical reports for the investigation and assessment of various building envelope failures or issues
  • Develop restoration strategies and present viable rehabilitation scenarios for the client
  • Develop building envelope design drawings and specifications
  • Conduct 3rd party review of building envelope design documents and shop drawings
  • Develop structural, thermal and hygrothermal models
  • Manage building envelope projects from conceptual design to completion
  • Previous experience managing junior and intermediate team members
  • Prepare financial studies/life cycle costing for buildings
  • Coordinate with other engineering and architectural disciplines
  • Perform contract administration/construction review while implementing work
  • Develop and maintain client base

Requirements

  • Completion of a post-secondary program in applied science or engineering from an accredited University
  • Registered as a Professional Engineer within the Province of Ontario required
  • Minimum 6-10 years previous experience in building science; experience in consulting or contracting firm preferred
  • Experience with fenestrations and glazing, concrete and masonry restoration and new construction, roofing, waterproofing, cladding, etc.
  • Strong project management skills 
  • Excellent communication and organizational skills; including technical writing
  • Ability to work with and manage a design team while working on multiple projects at the same time
  • Thrives in a fast-paced, dynamic team-oriented environment
  • Computer literate and proficient in the use of relevant computer applications, including developed skills in Word, and Excel. 
  • Access to a reliable vehicle
  • Ability to work overtime when required
  • Good academic understanding of building envelope design and building envelope behaviors; familiar with building codes and standards
  • Willingness to work on site and deal with Contractors
  • Work on some projects may have to be done outside of core hours.  The project team may be required to adjust work hours to suit specific projects as needed.

Location: North-York/Toronto, ON (Hybrid)

Compensation:  Replacement position with salary range from $90,000 to $110,000 CAD depending on experience

Vacancy Status: This posting is for an existing vacancy.

Equal Opportunity Employment Statement

Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.

Third-Party Agency Notice

Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.

Artificial Intelligence Disclosure

Applications are processed through an applicant tracking system that may or may not use automated screening questions to help identify qualified candidates. All applications are also reviewed by our hiring team.