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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.
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.
Skills:
Knowledge of approaches, techniques, algorithms, and tools in data science, machine learning / artificial intelligence, econometrics and statistics.
Understanding of ethical uses of data and data science.
Knowledge of the uses of predictive analytics in a post secondary institution.Skills
Ability to create real-world solutions through advanced predictive analytics and evidence-based decision making.
Effective data visualization skills and information design skills.
Effective with the use of data science collaboration standards, practices, and tools.
Senior statistical programmer/analyst skills, such as analysis, coding and modelling.
Effective communications skills to convey technical information in a straightforward and non-technical manner.
Effective planning and project management skills.
Critical thinking, and analytical skills.
Able to build effective working relationships with various levels of leadership and diverse groups.
Additional Notes:
This position requires the candidate to produce a verification of degree(s), credentials(s), or equivalencies from accredited institutions and/or international equivalents at the time of interview.
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*Compensation:
York's CPM Compensation Framework has a salary grid consisting of 6 or 8 steps (depending on job grade) which is reviewed annually with possible adjustments, and a lump sum Performance Based Recognition Award. Employees will receive the grid adjustment and depending on performance, eligible permanent employees may move to the next step of the grid and may receive a lump sum Performance Based Recognition Award.Visit the CPM Compensation page on the HR Website to find out more about York's CPM Compensation Program.
The University welcomes applications from all qualified individuals, including, but not limited to women, persons with disabilities, visible minorities (racialized), Indigenous Peoples and persons of any gender identity and sexual orientation. York University is committed to a positive, supportive and inclusive environment.
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PLEASE NOTE: Applications must be received by 11:55 pm EST on the posted deadline date, if applicable.