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Data Jobs in Toronto, ON (NOW HIRING)

The Data Scientist applies expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced ...

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable ...

Data Steward

Markham, ON · On-site

CA$80K - CA$90K/yr

In this role, you will collaborate with data governance stakeholders to establish and maintain data management standards for the Data Platform. Your responsibilities include analyzing data ...

Data Scientist

Toronto, ON · On-site

CA$82K - CA$154K/yr

Data Analytics & Reporting This is a 12 month hybrid contract role in Toronto Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to ...

We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands ...

The Data Analyst will be helping the team by, but not limited to, mining data for business insights, analyzing and interpreting trends using statistical tools and techniques, reporting on business ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill ...

We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands ...

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration initiative. You will be responsible for investigating existing data structures, analyzing business ...

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

The Data Solutions team focuses on developing data-driven solutions, driving innovation, and uncovering key insights to support strategic initiatives. The successful candidate will play a key role in ...

Data and Analytics Job Subfunction: Data Science and Analytics Are you an avid data analyst looking for an exciting career in the world of media? Are you obsessed with ROI? Do you like optimizing ...

Data consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit tools. In addition, they provide ...

Data Architect

Oakville, ON · Hybrid

CA$165K - CA$210K/yr

Specify the layered data model - raw to cleansed to curated to a fully safe analytical layer that holds no sensitive data - so the program never becomes a data swamp * Establish governance across ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation: $85,000-$115,000 Position Summary: The successful candidate will assist in leveraging customer ...

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of business partners and help shape future products and solutions. You'll contribute to highimpact ...

Data Analyst Are you passionate about creating immersive and cutting-edge online applications? Do you want to join a culture of creativity and collaboration? If you're a highly motivated and skilled ...

You will be responsible for transforming data from multiple sources into clear, meaningful insights, building models, and delivering reporting that informs strategy. Success in this role comes from ...

Showing results 21-40

Data information

See Toronto, ON salary details

$9

$31

$75

How much do data jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data in Toronto, ON is $31.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $45.19 per hour, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Toronto, ON?

The most popular types of Data jobs in Toronto, ON are:

Infographic showing various Data job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $66,179 per year, or $31.8 per hour.

Data Scientist

Cogeco

Burlington, ON • On-site

Full-time

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

Our culture lifts you up-there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type:RegularJob Description :

The incumbent can be based out of Montreal, QC, Trois-Rivieres, QC, or Burlington, ON.

Position Summary:

We are looking for a skilled and motivated Data Scientist to join Cogeco's Data Science and Analytics practice. In this role, you will play a key part in developing and implementing data models and strategies to improve customer acquisition, retention, and overall business performance. You will work closely with cross-functional teams to identify opportunities, develop advanced analytics, and deploy machine learning models that directly impact commercial growth and customer experience.

The Data Scientist applies expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that inform business decisions, and incorporates them into analytical data products or tools with the support of a cross-functional team.

Responsibilities:

  • As a Data Scientist at Cogeco, you will develop predictive modeling and machine learning solutions to complex business problems creating value for the business.

  • Transform data into insights that help to improve the value of the business.

  • Execute exploratory data analysis, data preprocessing, model development, model deployment and monitoring.

  • Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts.

  • Plan and execute analytical experiments to help solve business problems.

  • Propose solutions and strategies to business challenges.

  • Continuously refine and improve models based on feedback and changing business needs.

  • Leverage advanced analytics techniques to develop deep knowledge of the customer experience, use data and analytics to optimize marketing campaigns, and develop strategies through insights to attract new customers and retain existing ones.

  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools.

  • Effectively communicate the analytics approach and data science lifecycle with leadership and business partners.

  • Advocate and educate on the value of data driven decision making focusing on the "how and why" of solving problems.

  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers.

  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.

  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.

  • Build and deploy agentic AI solutions that leverage autonomous reasoning and tool-calling to automate end-to-end workflows and improve decision-making efficiency.

  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.

  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Qualifications:

  • Bachelor's degree required.

  • Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2 years work experience.

  • Proficiency writing complex SQL queries.

  • Advanced hands-on experience with the Python data science stack.

  • Owning the full Data Science life cycle from ideation to production.

  • Strong understanding of quantitative approaches, their benefits, and their limitations.

  • Analytical ability required to gather data, perform transformation, perform complex analysis, solve both business and technical problems.

  • Proficiency with data mining, mathematics, and statistical analysis.

  • Experience in pattern recognition and predictive modeling.

  • Experience with cloud platforms like Google Cloud, AWS, or Azure.

  • Excellent interpersonal, communication, listening, and presentation skills.

  • Excellent problem-solving skills and the ability to work independently as well as in a team.

  • Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.

  • Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.

  • Experience with data visualization tools preferred - Tableau, PowerBI, Looker, Plotly, etc.

Agile/Digital Experience:

  • Openness to working in Agile environments with multiple stakeholders.

  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.

About You:

  • Bias for action, with ability to deliver outstanding results through task prioritization and time management.

  • Demonstrated ability to efficiently learn and solve new business domains and problems.

  • Number sense; healthy skepticism around validity of data and its inherent biases.

  • Intellectual curiosity to understand and answer questions.

  • Intellectual humility to leverage the expertise of others.

You'll benefit from:

  • Flexibility: Yes, we think that what you do matters. At work and at home.

  • Fun: We laugh a lot, it makes every day brighter.

  • Discounted services: We provide amazing services to our clients, and you'll get them at home, because you deserve them.

  • Benefits: We've got you covered.

  • Career Evolution: Join us and we will give you the tools to achieve your career goals!

  • Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

Location :Burlington, ONCompany :Cogeco Connexion Inc

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we're doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.


If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com