Senior Data Scientist

Purpose:

The Office of Institutional Planning and Analysis (OIPA) supports the University to better enable informed decision making by providing effective planning, expert analysis, research, and guided access and interpretation to high-quality institutional data. The Office leads and supports Data and Analytics Strategy, Data Governance, Integrated Resource Planning, Institutional Reporting and Analysis, and Strategic Intelligence and Predictive Analytics. Reporting to the Director, Strategic Intelligence and Predictive Analytics and with occasional direction from the AVP Institutional Planning and Chief Data Officer, the Senior Data Scientist role applies a combination of techniques from statistics, machine learning / artificial intelligence, computer science and data visualization to produce advanced predictive analytic solutions, based on patterns and relationships in large volumes of data. These predictive analytic solutions address the full student lifecycle from recruitment through graduation and beyond and enables student success through supporting the design and delivery of exceptional experiences and services that meet the learning needs of York University students, undertaken by academic units and student support services across the University, including identification of opportunities for new programs and services.This role also undertakes advanced predictive modeling to support innovations in enrolment forecasting and planning functions and academic resourcing activities. The role produces predictive analytic solutions to enable impact evaluation of programs and initiatives, continuous improvement of institutional strategies, and evidence-based decision making. Under direction from the AVP Institutional Planning and Chief Data Officer, this role undertakes analyses of institutional data in support of Faculty Relations and Labour Relations, including analyses that may impact the outcome of labour negotiations.

To be considered for this opportunity, you will bring the following:

Education:

• Bachelor's degree in a relevant discipline.
• Master's degree in a relevant discipline.

Experience:

• 5 years of related experience working with advanced predictive analytics and data science.
• Experience using Python, R, and Azure cloud platform or similar cloud platform, to develop and deliver data science solutions.
• Experience using Git, Subversion, or similar version control systems.

For full position details, including skills and knowledge requirements, and to apply to this exciting opportunity visit the External Career Portal (www.yorku.ca/jobs) and refer to posting #111063.

We offer comprehensive benefits and access to superb educational and recreational facilities. For more information on what York has to offer U please visit: http://hr.info.yorku.ca/benefits/