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
- Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Responsibilities
- Provide the data needed to make business decisions
- Develop solutions and services adapted to business issues and operational process optimization research
- Oversee data mining, evaluation, feature engineering, quality inspection and adjustment of available data
- Analyze client and partner business needs, generate hypotheses, and lead mandates
- Use advanced statistical, machine learning and artificial intelligence methods to develop models
- Create programming needed to prepare and mine data, and develop, evaluate, support, roll out and manage highly complex models
- Prepare easy-to-understand presentations and data visualizations to support business decisions
- Draft guidelines and data modeling methods, ensure specifications for optimal model performance are met
- Identify opportunities to improve rules and systems
Requirements
- Bachelor’s degree in statistics, mathematics, actuarial sciences, computer science or a related field
- At least six years of relevant experience in data science and predictive model development
- Knowledge of French is required
- Advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
- Mastery of at least one data analytics programming language (Python or R) and one data manipulation language (SAS or SQL)
- Mastery in statistical approaches and machine learning methods (regression, decision trees, SVM, gradient reinforcement machines, clustering, neural networks, overall methods, etc.)
- Practical knowledge of leading data science libraries (machine learning, deep learning, natural language processing, visualization)
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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