Data Scientist

Role Description

Were looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch highimpact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deepdives 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 & executivefacing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Extract actionable insights through analyzing large, complex, multidimensional customer behavior data sets
• 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 crossfunctional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 35 years experience using analytics to drive key business decisions; examples include businessproductmarketing 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 and large unstructured datasets such as Hadoop
  • Deep 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
  • Proficiency in programmingscripting and knowledge of statistical packages like R or Python is a plus

  • Preferred Qualifications

    • Product analytics experience in a SAAS company
    • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

    • Compensation

      Canada Pay Range

      $127,500—$172,500 CAD