Salary
💰 CA$145,000 - CA$200,000 per year
About the role
- Establish the statistical foundation behind Quandri’s AI and analytics work
- Design and execute experiments, hypothesis testing, and causal inference studies
- Review and validate statistical methods used across ML/AI teams and oversee production model performance
- Lead exploratory analysis to uncover business opportunities and measure customer impact
- Build predictive models, forecasting, impact analysis, and systems to support decision-making
- Partner with Product, Engineering, Sales, Marketing, and Leadership to translate business questions into analytical solutions
- Collaborate with Data Engineers, ML Engineers, AI Engineers, MLOps, and Software Engineers to deliver production systems and analysis
Requirements
- Advanced degree (MS/PhD) in Data Science, Statistics, Science, Mathematics, or related quantitative field.
- 4-7 years of experience in data science roles with proven track record of driving business impact through analytics
- Advanced proficiency in Python/R, SQL, statistical/mathematical modeling, machine learning, data analysis, and experimental design
- Strong foundation in statistics, hypothesis testing, regression analysis, time series, and causal inference methodologies
- Experience translating business problems into analytical questions and communicating technical findings to non-technical stakeholders
- Proven ability to communicate complex ideas clearly, collaborate across teams, lead projects from concept to delivery, and inspire others through strong leadership
- Experience in agile, fast moving, and high impact business environments preferred
- Bonus: Experience in the insurance industry or with insurance technology products.