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 explicit 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

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