• Role Description

We're looking for a Senior Data Scientist to partner with product , engineering, and design teams to answer key questions a nd drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insight s . An i deal candidate should have robust knowledge of consumer lifecycle , behavior analysis , and customer segmentation. We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business.

• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data.
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly

Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• 6 + years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL
• D eep understanding of statistical analysis , experimentation design, and common analytical techniques like regression , decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Strong leadership and influence skills
• P roficiency in programming/scripting and knowledge of statistical packages like Pytho n is a plus
• Preferred Qualifications
• Product analytics experience in a SAAS company
• Compensation

Canada Pay Range $162,400 — $219,600 CAD

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field