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Associate Data Scientist Jobs in Kitchener, ON (NOW HIRING)

Gore Mutual Insurance

Data Engineer

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

  • Medical

  • Dental

  • Retirement

  • PTO

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a ... Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer ...

GEI Consultants

Data Engineer

Guelph, ON

CA$90K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ... With several offices across North America, we offer a range of engineering, science, and technical ...

GEI Consultants

Data Engineer

Kitchener, ON

CA$90K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ... With several offices across North America, we offer a range of engineering, science, and technical ...

Transunion

Principal, Fraud Analytics

Burlington, ON · On-site

Data Science & Modeling : Oversee the development of machine learning models, rules engines, and ... We strive to build an environment where our associates are in the driver's seat of their ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Kitchener, ON

Associate Data Scientist information

See Kitchener, ON salary details

$63.9K

$95.5K

$130.6K

How much do associate data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate data scientist in Kitchener, ON is $95,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,303.00 and $111,958.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

More about Associate Data Scientist jobs

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

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

What cities near Kitchener, ON are hiring for Associate Data Scientist jobs?

Cities near Kitchener, ON with the most Associate Data Scientist job openings:

Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $95,531 per year, or $45.9 per hour.

Evaluation Lead and Data Analyst

University of Guelph

Guelph, ON

Full-time, Temporary

Posted 4 days ago

Job description

Department: Student Wellness Services
This position is represented by the agreement between the Professional Staff Association and the University of Guelph

Temporary full-time from 09/07/2026 to 09/08/2027

If you are a current employee of the University of Guelph you must apply on the internal Career Page in order to be considered as an internal applicant.

Career Opportunities (sapsf.com)

Duties and Responsibilities
Reporting to the Senior Director, Student Affairs, and working in close collaboration with the Associate Director, Student Wellness, the Evaluation Lead and Data Analyst provides leadership in evaluation, data analysis, and knowledge mobilization to support projects across Student Wellness Services. This role is an integral member of the team, contributing to strategic planning, policy development, and evidence-informed decision-making at both the departmental, directorate, and institutional level.
 
The position is responsible for compiling and analyzing large volumes of complex data from multiple systems and sources, and for translating findings into clear, accessible reports, dashboards, and other knowledge-sharing products. In addition to supporting ongoing evaluation and reporting needs, the role proactively identifies emerging trends, issues, and opportunities within student wellness and the post-secondary sector, initiating analyses to inform future planning, program design, and resource allocation.
 
The Evaluation Lead and Data Analyst provides strategic advice and recommendations to SWS and Student Affairs leadership, synthesizing complex quantitative and qualitative evidence into actionable insights that inform priorities, service planning, and policy direction. The role contributes to both internal and external reporting requirements and supports implementation planning and continuous quality improvement across Student Wellness Services and university-wide initiatives, including the President's Taskforce on Student Mental Health.
 
The position requires a strong understanding of integrated data systems and data governance practices, ensuring data quality, consistency, and appropriate use of data across sources. The role also supports survey and evaluation design using rigorous methodological approaches, and may contribute to grant development, ethics review processes, and dissemination of findings within and beyond the institution.
 
The position routinely works with sensitive and confidential data, including personal and health information, and requires a high degree of discretion, sound judgment, and compliance with applicable privacy legislation (e.g., PHIPA, FIPPA). The role operates with a high level of independence, responding to both planned and ad hoc requests, often within tight timelines.
 
Requirements
  • Master's degree in Public Health, Epidemiology, Statistics, Data Science, Program Evaluation or a related discipline.
  • 3-5 years of applied data analysis or program evaluation experience.
  • Experience working with large survey datasets, administrative data, and programlevel evaluation.
  • Excellent quantitative, analytical and problem-solving skills and an aptitude for research and analysis.
  • Ability to program and work in SAS, R, and SQL to write macros, perform queries, data analysis, etc.
  • Strong written and verbal communication skills and demonstrated experience translating technical and statistical findings into clear, actionable information for nontechnical audiences.
  • Experience in health care context, sensitive data management.

Employee Type: Temporary 
Position Number: 10927699 
Classification: P&M FT- Band 04

Professional/Managerial Salary Bands 

The target hiring salary for this position is minimum and up to 96% of midpoint for the salary grade.

*Tentative evaluation; subject to committee review.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Posting Date:  08/17/2026  
Closing Date:  08/24/2026

Apply