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Data Science Assistant Jobs in Ontario (NOW HIRING)

Canadian Tire

Senior Data Scientist

Toronto, ON

You have a strong command of machine learning, data science and software engineering. You're ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Canadian Tire

Senior Data Scientist

Toronto, ON

You have a strong command of machine learning, data science and software engineering. You're ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

Td

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

The work spans foundational data and reporting, interaction analytics, agent assist, knowledge ... Lead data science initiatives from business problem definition through planning, solution design ...

Curinos Inc

Senior Data Scientist

Toronto, ON · On-site

CA$110K - CA$124K/yr

... our Data Science & Machine Learning Team focused on the application of data science, machine ... Learning and development tools to assist with your career development * Work with industry leading ...

Hibernian General Insurance

Data Scientist

Toronto, ON · On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

Hibernian General Insurance

Data Scientist

Markham, ON · On-site

CA$80K - CA$120K/yr

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD ... Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Ontario? The most popular types of Data Science jobs in Ontario are:
What are popular job titles related to Data Science Assistant jobs in Ontario? For Data Science Assistant jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Ontario look for? The top searched job categories for Data Science Assistant jobs in Ontario are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Data Science Specialist

Toronto Catholic District School Board

Toronto, ON • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Details
Data Science Specialist
Exempt Level 3: $87,762- $105,316
Vision
The Toronto Catholic District School Board (TCDSB) is proud to be a significant part of the fabric of publicly funded Catholic education in the province of Ontario. We serve approximately 85,000 students in nearly 200 Catholic schools in the City of Toronto and represent close to 575,000 Catholic school supporters. At the TCDSB, we grow in knowledge, with justice and hope. The TCDSB is an inclusive Catholic learning community that nurtures faith development and academic excellence through the love of God, neighbor, and self.
We fully engage students in learning that supports their academic, spiritual, socio-emotional, and physical growth and development. At TCDSB, we have a long and distinguished history of providing excellence in Catholic education for the Toronto community. The Ontario Catholic School Graduate Expectations our Catholic values, and the Board's Pastoral Plans are foundational to our exemplary approach to teaching and learning in the 21st Century.
With a staff of 14,000, the TCDSB is a dynamic school board and is seeking a permanent position for a Data Science Specialist within the Communications, Research & Policy department.
All interested applicants are welcome to apply, we are an inclusive employer.
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KEY ACCOUNTABILITIES:
Reporting to and under the direction of the Data Science Lead, the successful candidate will contribute to the Research and Analytics department by delivering student achievement, well-being and business analytics products using data from multiple systems and sources.
  • Transform and structure data into analysis - ready formats to support analytics, reporting, and research activities
  • Develop, maintain, and optimize SQL - based data models, views, and datasets from relational data systems in collaboration with ICT services
  • Support reproducible analytics workflows using SQL and R
  • Assist with data preparation for internal research, recurring reporting, and external reporting requirements
  • Maintain clear documentation of data sources, transformations, and assumptions to support reuse and auditability
  • Contribute to continuous improvement of analytics processes and data assets across the organization

REQUIREMENTS:
  • Post secondary (Bachelor) in data science, statistics, mathematics, economics, computer science, or a related field
  • Minimum two (2) years experience working with SQL and relational database systems combined with relevant operational analytics
  • Experience with data visualization tools or packages (e.g., PowerBI, ggplot2, R Shiny and Quarto)
  • Experience preparing clean, well - structured datasets for downstream analysis or reporting
  • Superior oral and written communication skills as demonstrated by success in engaging, understanding and supporting data users, including proven presentation skills
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets
  • High level of accuracy and attention to detail in data validation, analysis, and reporting
  • Ability to adapt to changing priorities and evolving data requirements

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Who We Are
Our mission at TCDSB is to inspire learning in every way and support our students and employees. Employees who work in our corporate setting are passionate and have a strong belief in our mission and making TCDSB a leader in public education. We are:
Consistent with the TCDSB's Employment Equity policy and Multi-Year Strategic Plan, the TCDSB is strongly committed to fostering and creating a diverse and inclusive workplace that reflects the stakeholders and communities we serve. As such, we especially welcome applications from individuals who would contribute to the further diversification of our staff, including but not limited to, those who are Indigenous, Black, 2SLGBTQ+, and racialized. You are invited to voluntarily indicate if you identify as one or more of the aforementioned communities. This information will be kept confidential.
The TCDSB is committed to providing barrier-free and accessible employment practices in compliance with Accessibility for Ontarians with Disabilities Act (AODA). Should you require code-protected accommodation through any stage of the recruitment process, please let us know when contacted. We will work with you to meet your needs. Disability-related accommodation during the application process is available upon request. Learn more about the TCDSB Fair Hiring Policies and Accommodation Process. https://5il.co/1dkld
All interested applicants are asked to apply online no later than 11:59 pm on Friday, August 7, 2026,via Apply to Education at Data Science Specialist.
We thank all prospective applicants for showing interest in this position; only those selected for an interview will be contacted.
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