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Data Science Project Manager Jobs in Ontario (NOW HIRING)

fgf brands

... projects that directly impact our business. This role is designed to provide hands-on experience and exposure to various aspects of data science, including data analysis, machine learning, and ...

New

Stripe

Data Scientist, Link

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our ... A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

MasterCard

Data Scientist II

Toronto, ON · On-site

... managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. Within this space, the Identity Data Science portfolio plays an important role in advancing ...

ICES Central

Research Project Manager

Toronto, ON · On-site

CA$65K - CA$75K/yr

Data. Discovery. Better Health. ICES is a world-leading health research and analytics institute ... Managing project budgets and allocating funds in collaboration with the Staff Scientist and project ...

Future Secure AI

Stay abreast of the latest advancements in machine learning, data science, and human-computer ... Collaborate closely with engineers, user experience researchers, and product managers

Larus Technologies

Data Scientist

Ottawa, ON · On-site

Strong active-listening skills and the ability to translate business needs into data science solutions; * Experience managing client expectations while balancing project scope, timelines, and ...

Johnson & Johnson

Lead Data Scientist

Toronto, ON · On-site

... projects and partnering directly with business stakeholders to drive adoption and change management ... Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility ...

Jj

Lead Data Scientist

Toronto, ON · On-site

... projects and partnering directly with business stakeholders to drive adoption and change management ... Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility ...

Meridian Credit Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Ability to work collaboratively in a team environment and manage multiple priorities. * Experience: 2-4 years of experience in data science and Microsoft technologies. This role represents an ...

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

You will lead and deliver complex data science initiatives, guide experimentation with new AI ... Anticipate and proactively address peer review, governance, and model risk management ...

Manulife

Senior Data Scientist - GenAI

Toronto, ON · Hybrid

Develop and lead machine learning and AI driven projects that span the breadth of Group Functions ... D. in Computer Science, Data Science, Statistics, Engineering, or a related field. * 5+ years of ...

DAC Group

Senior Data Scientist

Toronto, ON

Lead client consultations as the primary data science expert, translating complex statistical ... Client & Stakeholder Management * Present findings and recommendations directly to C-suite ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead ... Strong stakeholder management skills, with proven ability to work effectively across Product and ...

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Showing results 41-60

All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Ontario

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 Aug 14, 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 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 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 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:

Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $119,929 per year, or $57.7 per hour.

Data Scientist

fgf brands

On-site

Full-time

Posted 3 days ago

New

Job description

Data Scientist

We’re a naan traditional company…

Summary

As a Data Scientist at FGF Brands you will have the unique opportunity to work alongside experienced data scientists on real-world projects that directly impact our business. This role is designed to provide hands-on experience and exposure to various aspects of data science, including data analysis, machine learning, and computer vision.

What FGF Offers:

  • FGF believes in Home Grown Talent, accelerated career growth with leadership training.  Unleashing Your Potential 
  • Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account
  • RRSP matching program
  • Tuition reimbursement
  • Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc. 

Key Responsibilities:

  • Working closely with data science team researching on the latest technologies and state of the art AI and computer vision models with the goal of importing them into manufacturing industry. 
  • Understand business requirements and develop AI driven solutions addressing those requirements.
  • Help with data collection from various automated and manual processes.
  • Analyze structured and unstructured data from various data sources, clean data, transform raw data into business insights by building ETL pipelines and visualization dashboards.

Key Qualifications:

  • 3+ years of experience in machine learning, data analysis and data visualization
  • Education in engineering or analytical fields, Master degree is preferred
  • Possesses a strong foundation in programming languages like python and common data analysis packages (Tensorflow, Pytorch, etc.)
  • Has a working knowledge of computer vision techniques applicable to manufacturing, such as image classification (e.g., CNNs, YOLO, VLM).
  • Tech-savvy, autonomous, eager to learn, comfortable working in fast paced environments.

What is the recipe for a great career at FGF?

Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.

In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.

 

Disclaimer: The above describes the general responsibilities, required knowledge and skills.  Please keep in mind that other duties may be added or this description may be amended at any time.

 

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