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

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Associate Data Scientist information

See Waterloo, ON salary details

$63.9K

$95.5K

$130.5K

How much do associate data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for associate data scientist in Waterloo, ON is $95,467.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,250.00 and $111,883.00 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.

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

Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,467 per year, or $45.9 per hour.

Researcher Visibility and Identity Lead

University of Waterloo

Waterloo, ON • On-site

Full-time

Posted 14 days ago

Job description

At theUniversity of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can bring big ideas to life, together. The University is a welcoming workplace for those of all abilities, interests, and expertise. As part of our workforce, you can do what you do best, every day.
Learn more about our recruitment process.

Job Requisition ID:

2026-01570


Time Type:

Full time

Employee Group:

Staff

Job Category:

Project and Program Management

Employment Type:

Temporary

Department:

Libraries - Bibliometrics and Research Impact

Hiring Range:

$73,695.42 - $92,119.28

Posting Information:
This posting is for an existing vacancy.

Term 2 years

Internal posting expires Thursday August 13th at 11:59 PM

Job Description:

Primary Purpose

The University of Waterloo Libraries is the campus's partner in learning, research and innovation. Its two main locations and three satellite spaces act as interdisciplinary hubs, bringing together the knowledge, expertise and resources needed by our diverse campus community. The University was built for change and the Libraries exemplifies Waterloo's agility as we continuously transform our approaches to creating, discovering, using, sharing and preserving information. With a commitment to open and equitable access to information, we equip researchers and students with the critical research skills to improve our world as active citizens, creative problem solvers and agile leaders. All of our work is done with a strong commitment to equity, diversity, inclusion and accessibility.

The Researcher Visibility and Identity Lead is a member of the University of Waterloo Libraries and will lead the coordination, enhancement, and long-term sustainability of persistent digital identifier (PID) services and infrastructure to support open research, scholarly communications, and research impact and intelligence infrastructure at Waterloo.

This position reports to the Bibliometrics and Research Impact Librarian, works closely with the Associate Vice President, Research Oversight and Integrity (in the Office of Research), and aligns priorities with partners such as the Office of Vice President Research, Research Systems and Analytics Team and the Institutional Analysis and Planning. The incumbent is accountable for developing, coordinating, delivering, monitoring, assessing, and advancing the use of PIDs and related systems intended for use in research intelligence to support the research mission of the university. This role will support the stewardship, services, infrastructure and processes related to scholarly communications, open access and open science.

Key Accountabilities

Managing Project and Services

Lead the ongoing operation, optimization, and sustainability of a digital identifier (PID) infrastructure such as the Open Contributor and Researcher ID (ORCID), the ORCID Affiliation Manager and related systems, such as Scopus ID and profiles ensuring data integrity for name disambiguation and institutional affiliation assertion.

Develop and maintain a sustainability framework for ORCID adoption and integration across faculties and research units.

Develop and deliver a project plan and associated project management documentation.

Inform key project partners on project status.

Develop and manage technical workflows needed to support the creation, management and use of PIDs.

Oversee data quality, validation processes, and integration workflows to support accurate and connected research information in collaboration with campus partners.

Develop methods to assess and evaluate the effectiveness of the use of persistent digital identifiers in research intelligence work at Waterloo.

Outreach and Education

Collaborate with faculty, staff, students and campus partners to support the integration of persistent identifiers into the research intelligence analysis process.

Serve as a campus resource for understanding and taking control of online digital identities.

Promote sustained engagement and adoption of ORCID and related services across the research lifecycle.

Work with the Working Group on Bibliometrics and the Bibliometrics and Research Impact Community of Practice to engage with faculties, departments, research centres and institutes to understand the use of PIDs and other tools that generate research impact measures, grounded in the university's Position Paper on Bibliometrics.

Provide individual and group training on PIDs.

Design, develop and maintain effective online and instructional content and communications related to PIDs.

Collaborate with campus partners to ensure communication with relevant groups, distribution lists, etc.

Team Collaboration

Collaborate with the Bibliometrics and Research Impact Librarian and key partners to understand the needs and processes of PIDs users.

Monitor and respond to technology trends related to PIDs and research intelligence that may be beneficial to supporting the Libraries' and University's strategic directions.

Serve on committees and groups fostering collaboration, information sharing, partnership and expertise across campus and the broader community, including Bibliometrics and Research Impact Community of Practice.

Provides guidance and mentoring to others in various projects and committees.

Support, guide and mentor colleagues in the library and campus communities.

Professional Development

Connect with professional organizations in their area of expertise and actively contribute.

Engage with specialized teams or working groups to support the unique needs and strategic goals at the University of Waterloo.

Ongoing, proactive acquisition, maintenance, and provision of leadership in the development of associated skills and knowledge in areas of expected expertise.

*All employees of the University are expected to follow University and departmental health and safety policy, procedures and work practices at all times. Employees are also responsible for the completion of all health and safety training, as assigned. Employees with staff supervision and/or management responsibilities will ensure that assigned staff abide by the above, and actively identify, assess and correct health and safety hazards, as required.

Required Qualifications

Education

Combined education and experience in a related field with a preference for a minimum of a Master's degree.

ALA-accredited Master of Library Science degree would be an asset.

Experience

Experience with research databases, citation tracking databases, and scholarly communications services or related systems (e.g. SciVal, InCites, ORCID, CrossRef).

Experience with project management involving multiple partners.

Experience presenting information to various audiences to effectively influence groups to meet a common goal.

Knowledge/Skills/Abilities

Ability to independently, as well as collaboratively, plan, coordinate, and implement effective projects, including managing multiple and simultaneous projects.

Knowledge of the responsible use of bibliometrics analysis and best practices.

Familiarity with scholarly communication, publishing and the research life-cycle.

Ability to work effectively and efficiently without direct supervision.

A strong commitment to high-quality service.

Excellent communication and interpersonal skills, both oral and written.

Assets

Familiarity with the Persistent Identifier (PIDS) ecosystem in the Canadian context.

Experience working with APIs and/or coding.

Experience working in an academic setting, especially academic libraries.


Equity Statement
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is coordinated within the Office of Indigenous Relations.
The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Metis and/or Inuk (Inuit), Black, racialized, a person with a disability, women and/or 2SLGBTQ+.
Positions are open to qualified candidates who are legally entitled to work in Canada.
The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources athrhelp@uwaterloo.ca or 519-888-4567, ext. 45935.

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