Job Details

Role DescriptionWe're looking for a Senior Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. 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 marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting (Python/R) and querying (SQL) .ResponsibilitiesEvaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testingPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributesIdentify 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 setsMonitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experimentsTranslate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterateRequirementsBachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field7+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesSolid background in running multivariate experiments to optimize a product or revenue flowStrong verbal and written communication skillsProficiency in programming/scripting and knowledge of statistical packages like R or PythonPreferred QualificationsExperience in using open source packages for incrementality tests(e.g. Meta's Geolift, Google's Causal Impact) and MMM (Google's Meridian, Lightweight MMM or Meta's Robyn)Master's or Ph.D. Degree in a quantitative fieldExperience with predictive modeling, machine learning, and experimentation/causal inference methods.CompensationUS Zone 1This role is not available in Zone 1US Zone 2$173,700—$234,900 USDUS Zone 3$154,400—$208,800 USD