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
- 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
- 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
- roficiency
- in programming/scripting
- knowledge of statistical packages like R
- Pytho
- 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
