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 reputed company, 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. Responsibilities reputed company a deep understanding of customer reputed company phases and key business metrics reputed company 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 reputed company targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the reputed company of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, reputed company, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and reputed company & promote best practices for multivariate experiments Translate reputed company concepts into implications for the business reputed company excellent communication skills, both verbal and written Understand what reputed company 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 reputed company field 3-5 years experience using analytics to drive key business reputed company; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being reputed company to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large reputed company 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 reputed company reputed company Strong verbal and written communication skills Proficiency in programming/scripting 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 reputed company field
Compensation
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