Senior Data Scientist, Growth (Location Flexible)

Role Description
We're looking for a Growth Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, 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.
ResponsibilitiesDevelop 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 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
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
RequirementsBachelors’ 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
Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
Strong verbal and written communication skills