Staff Data Scientist, Growth

Role DescriptionWe're looking for a Staff Data Scientist to partner with revenue, marketing, and product 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 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.ResponsibilitiesEvaluate and improve our marketing measurement leveraging techniques such as MMM (Marketing Mix Modeling), MTA (Multi-touch Attribution), and incrementality testingDevelop descriptive and predictive quantitative models to support optimization of our marketing campaignsLeverage internal and third-party tools to gain the data needed for marketing insightsDevelop a deep understanding of customer journey phases and key business metricsPerform 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 insightsIdentify key trends and build automated reporting & executive-facing dashboards to track the progress of marketing-driven 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 our marketing campaigns for 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 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 field10+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingPast experience working with marketing analytics and utilizing causal inference for marketing measurementProven 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 Python is a plusPreferred QualificationsFamiliarity with Marketing Mix Models and Marketing campaign attributionExperience conducting exploratory analyses on large datasets and summarizing complex information in an easy to understand way

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