Data Scientist

Role Description We're 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 high-impact initiatives. 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 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 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. • Extract actionable insights through analyzing large, complex, multi-dimensional 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 cross-functional 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 • 3 -5 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 and large unstructured datasets such as Hadoop • 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 • P roficiency in programming/scripting and knowledge of statistical packages like R or Pytho n 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 US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 — $201,800 USD US Zone 3 $132,600 — $179,400 USD