eCampusOntario is a provincially-funded non-profit organization that leads a consortium of the province’s 57 publicly-funded colleges, universities and indigenous institutes to develop and test online learning tools to advance the use of education technology and digital learning environments. Officially registered as the Ontario Online Learning Consortium (OOLC) and referred to as eCampusOntario we:

- Support the development and delivery of quality online learning experiences across all of Ontario.
- Lead in research, development and sharing of exemplary practices in online and other forms of technology-enabled learning.
- Support member institutions in fostering innovation, collaboration, and excellence on behalf of Ontario students, faculty and stakeholders.
- Contribute to the evolution of teaching and learning by responding to emerging technology and the development of state-of-the art online learning.

Data Scientist, Research and Foresight

Position Summary

The Data Scientist is responsible for transforming organizational, platform, and operational data into actionable insights that support strategic decision-making, product and service improvement, and organizational innovation.

Working across Digital Innovation and collaboratively with teams throughout eCampusOntario, the role supports the development of data-informed strategies related to digital platforms, user engagement, operational effectiveness, cost recovery, and emerging innovation opportunities.

The Data Scientist will analyze and interpret complex datasets, develop dashboards and predictive models, identify trends and patterns, and support the organization’s growing analytics and AI capabilities. The role also contributes to the development of sustainable reporting practices, performance measurement frameworks, and evidence-based decision-making across the organization.

This role is both strategic and operational, bridging analytics, product intelligence, and organizational insights to support eCampusOntario’s mission and long-term sustainability.

Accountabilities, Duties and Responsibilities

Data Analysis and Strategic Insights

- Analyze organizational, operational, financial, and platform data to identify trends, patterns, risks, and opportunities.
- Develop actionable insights to support strategic planning, decision-making, and continuous improvement.
- Translate complex analytical findings into clear and accessible reports, visualizations, and recommendations for technical and non-technical audiences.
- Support forecasting, scenario analysis, and performance measurement activities.

Product and Platform Analytics

- Support the analysis and optimization of eCampusOntario digital platforms and services through data-driven insights.
- Develop and maintain dashboards and reporting tools related to:
- platform usage
- engagement
- adoption
- operational performance





- Identify user behaviour trends and support improvements to user experience, accessibility, and product effectiveness.
- Collaborate with Product and Service Design, IT Services, and Research and Foresight teams to support data-informed product and service decisions.

Operational and Financial Analytics

- Support organizational reporting related to:
- time and cost accounting
- cost recovery
- resource allocation
- operational efficiency

- Assist in identifying opportunities to improve operational effectiveness and financial sustainability.
- Support the development of metrics and models to assess return on investment (ROI), value creation, and service viability.

Data Governance and Reporting

- Contribute to the development and implementation of organizational data standards, reporting practices, and governance processes.
- Ensure data quality, integrity, and consistency across reporting and analytics activities.
- Support the integration and organization of data from multiple systems and platforms.

Innovation and Emerging Technologies

- Support experimentation and innovation related to:
- artificial intelligence (AI)
- predictive analytics
- automation
- emerging technologies

- Identify opportunities to leverage data science methodologies to improve organizational outcomes and sector impact.
- Contribute to research, pilots, and innovation initiatives related to digital transformation and workforce trends.

Stakeholder Collaboration and Knowledge Sharing

- Collaborate with cross-functional teams to understand business needs and define analytics requirements.
- Support organizational learning by sharing insights, trends, and best practices related to analytics and data-informed decision-making.
- Present findings and recommendations to internal and external stakeholders, as required.

Education, Professional Designations and Development

- Undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related discipline

Experience

- Minimum four (4) of work experience in data analytics, data science, business intelligence, or related roles.
- Experience working with large or complex datasets and developing analytical models and dashboards.
- Experience translating data into actionable insights for decision-making.
- Experience working in cross-functional environments.
- Experience in post-secondary education, public sector, or digital services environments considered an asset.

Skills

- Strong analytical and problem-solving skills.
- Experience with data visualization and reporting tools (e.g., Power BI,



Tableau, Looker Studio).
- Knowledge of statistical analysis, forecasting, and predictive modelling techniques.
- Experience with programming languages and analytics tools such as Python, R, SQL, or equivalent.
- Understanding of data governance, data quality, and reporting practices.
- Ability to communicate complex concepts clearly to non-technical audiences.
- Robust collaboration and stakeholder engagement skills.
- Interest in AI, emerging technologies, and innovation practices considered an asset.
- Demonstrated commitment and understanding equity, diversity, decolonization and
- inclusion with the ability to communicate and work effectively with diverse peoples

Candidates must be legally entitled to work in Canada.

Offers are conditional upon the successful review of three (3) professional references and a satisfactory background check.

PostingclosesFriday, October 30, 2026 at 11:59PM EDT. We sincerely appreciate the interest of all applicants in joining our team. Due to the high volume of applications received, we will be reaching out only to those candidates selected for an interview. Candidates who are contacted for an interview or to participate in a pre-screening phone call can expect to receive an update on the status of their application within 45 days of their most recent interview. We encourage applicants to regularly visit our Careers page for new and exciting career opportunities.

The base salary range for this position is $67,927 – $84,909 CAD.

Equity, Decolonization,Diversityand Inclusion Statement

The current social context informs our work. This includes the imperative to join the fight against anti-Black racism and anti-BIPOC racism, and to support Equity, Decolonization,Diversityand Inclusion in everything we do. We will seize this moment to rebuild and support an environment that prioritizes inclusion,representationand voice.

Accessibility Statement

In accordance with the Accessibility for Ontarians with Disabilities Act (AODA),eCampusOntariois committed to accommodating applicants with disabilities throughout thetalent acquisitionprocess.

If you require any accommodations at any point during thetalent acquisitionprocess, please contact

Hybrid Work Model

This position is based out of the eCampusOntario office in downtown Toronto, where our hybrid work model includes both in-person and remote work opportunities. Our current in-person work requirement is two (2) days per month (minimum) which may be changed at any time to meet our evolving organizational needs.

eCampusOntario may use artificial-intelligence (AI) tools to assist with screening or assessing applicants. AI tools may be used by some hiring managers during certain stages of the recruitment process, while others may rely solely on human review. All final hiring decisions are made by human decision-makers.

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📌 Data Scientist, Research and Foresight (Toronto)
🏢 eCampusOntario
📍 Toronto