Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
Responsibilities
- Under the overall direction of the Assistant Registrar, Enrolment Research, Analytics (ERAI) and Insights, the Predictive Enrolment Analytics Lead is a key member of the ERAI unit.
- The position requires a high degree of independence, detail orientation, communication skills, system thinking skills and superior expertise in quantitative analytics.
- The position has a focus on developing and implementing advanced data models through machine learning and statistical approaches, with the intention to build unit capacity in predictive and prescriptive analytics.
- One of the first projects will be to build a robust model to predict enrolment, which will provide insights to University administrators for strategic planning.
- The work also involves communicating ideas and outcomes to seek stakeholder buy-in and recommend solutions to address specific operational or strategic questions.
- Developing and maintaining a strong network of analytics is also essential for this position to stay current on best practices and resources, and to establish unit/RO branding on advanced analytics inside and outside of the University.
Requirements
- A post-secondary degree from a recognized institution in Computer Science, Statistics, Mathematics, or a related discipline.
- A bachelor’s degree or equivalent is required; a master's/PhD degree is an asset. Equivalent combinations of education and experience may be considered.
- 5+ years of experience in progressively responsible roles within business intelligence, advanced data analysis, and machine learning.
- 3+ years of experience in leading advanced analytics projects or teams.
- Strong knowledge of conducting scientific research. Strong knowledge of data science and statistical principles.
- Advanced skills in data extraction, manipulation, and analysis. Excellent programming skills in R, Python, and/or SAS.
- A proven record of successfully managing complex projects and delivering impactful business outcomes.
- Have a strong mindset and skills to implement technical change at the institutional level, from vision to realization, through collaboration with business stakeholders.
- Experience in collaborating with cross-functional teams and senior leadership to translate business needs into data strategies and initiatives.
- Extensive experience in business analysis and problem-solving to transform complex business problems into conceptualized research questions and then into data-driven solutions.
- Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and influence decision-making.
Benefits
- This position offers a comprehensive benefits package.
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