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Data Science Project Manager Jobs in Ontario (NOW HIRING)

Deliver measurable business impact - Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration. * Use data to solve business ...

In addition, the successful candidate will have strong project management and analytical skills ... Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field ...

Post-secondary degree in Biology, Engineering, Geology, Environmental Science, Project management or Business. * Minimum 5 years' professional services consulting experience, working with external ...

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

You have a strong command of machine learning, data science and software engineering. Youu2019re ... Hadoop, HIVE, Spark) Project management, team mentorship and leadership qualities Data intelligence ...

... projects - apply your expertise in data science, influence technical direction, and share your ... Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning ...

You have a strong command of machine learning, data science and software engineering. Youu2019re ... Hadoop, HIVE, Spark) Project management, team mentorship and leadership qualities Data intelligence ...

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Showing results 1-20

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 Jul 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 the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

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.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

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.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,929 per year, or $57.7 per hour.

Data Scientist

Borrowell

Toronto, ON • On-site

Full-time

Medical, Dental, Vision

Posted 22 days ago


Job description

About Borrowell:
At Borrowell, we're on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively.

With over four million members, Borrowell empowers Canadians to understand their credit, build credit through Rent Advantage and Credit Builder, and make better financial product choices.

Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you're looking to join a company that's transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money.

About the Role:

As a Data Scientist, you'll work closely with Product, Business, Data, and Engineering teams to help Borrowell make better decisions and build better experiences for our members. Your work may range from analyzing member behavior and evaluating experiments to developing recommendation systems and predictive models that improve marketplace performance.

This is a hands-on role with significant ownership. You'll work on problems from initial scoping through implementation, measurement, and iteration, partnering directly with stakeholders to understand the business problem before determining the right solution.

During your first year, you can expect to:

  • Deliver measurable business impact - Own 1-2 end-to-end data science projects, from problem framing and analysis through implementation, measurement, and iteration.
  • Use data to solve business problems - Apply analytics, experimentation and machine learning where appropriate, while recognizing when a simpler solution is the better choice.
  • Contribute to Borrowell's personalization and recommendation systems - Help improve how products and experiences are matched to members across the marketplace and member lifecycle.
  • Partner closely with stakeholders - Work with Product, Business, Data, and Engineering teams to turn business questions into actionable insights and recommendations.
  • Help scale the team's capabilities - Contribute reusable datasets, features, documentation, monitoring, and processes that make it easier to build and maintain data products over time.

Requirements

  • 2+ years of experience applying data science, analytics and machine learning to solve real business problems.
  • Able to break down ambiguous business questions, identify the right data to use and recommend a practical path forward.
  • Experience building and evaluating predictive models, including feature engineering, model validation, and handling challenges such as class imbalance, leakage, and data quality issues.
  • Experience with experimentation and A/B testing.
  • Strong Python skills and SQL skills for Data Science work.
  • Strong written and verbal communication skills - able to clearly explain insights, recommendations, and trade-offs to both technical and non-technical audiences..
  • Comfortable owning work independently in a fast-paced environment.

Nice to Haves:

  • Experience working with cloud data warehouses such as Snowflake, Databricks, BigQuery or Redshift.
  • Experience with Looker or other BI tools for analysis and stakeholder reporting.
  • Experience in consumer technology, fintech, marketplaces or growth-oriented product environments.

Benefits

  • The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody
  • Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists
  • Additional Health Benefits - virtual benefit offering that allows you to connect 24/7 with nurses, doctors and mental health professionals
  • Maternity & Parental Leave Top-up - available to new parents
  • WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you
  • Employee Development Benefit - annual reimbursements on payments to help your learning
  • Givewell Benefit - 1 paid volunteer day a year to give back to the community
  • Flexibility - flexible working hours and a flexible vacation policy

We are remote-first across Canada with an office in Toronto. This role will require you to attend in-person meetings and team-building events. While this role is remote, we are currently only able to hire candidates physically located in Ontario, BC, or Alberta.

At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you're unsure about your qualifications for this position, we'd still encourage you to apply. We're looking for candidates who have experience, but know that not everyone's had a chance to demonstrate what they can do. What's most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.

Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.

Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.

This posting represents a current and active vacancy within our organization.

The budgeted annual salary range for this role is $80,000 - $130,000 CAD. Starting pay is determined by the candidate's relevant experience and skills. In addition to base salary, this role is eligible for Borrowell's full benefits package.