Data Scientist, Product Analytics

Data Scientist, Product Analytics to drive product optimization and customer insights for a remote-first team. Responsibilities include analyzing user behavior, collaborating with product managers and engineers to study product usage and feature adoption, conducting and evaluating A/B tests, building dashboards to monitor performance, identifying key product metrics, and applying statistical methods and machine learning to predict trends and segment customers. Strong emphasis on data quality, attention to detail, and clear communication of complex findings to non-technical stakeholders. Requires SQL and Python experience and a degree in statistics, mathematics, or related field (or equivalent work experience). The role supports a remote-working culture with global flexibility and a compensation range of $80,000–$110,000 CAD annually, with additional benefits. Leap Tools emphasizes a remote-first environment and potential flexibility to create roles that fit unique talent, with a focus on data-driven decision making in the home decor domain.