Hybrid Senior Data Science Advisor

at Desjardins

• Job title: Senior Data Science Advisor
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Montreal, Canada

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