Remote 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