PayPal is looking for a senior product data scientist to drive data-driven decision-making and support experimentation efforts for the Venmo Analytics team.
Requirements
- Strong expertise in A/B testing, experimental design and analyzing controlled experiments
- Strong foundation in causal inference techniques
- Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud)
- Experience analyzing very large, complex, multi-dimensional data sets
- Experience with one or both will be highly desirable – Python and R
- Experience in Machine learning techniques (models for classification, regression, clustering etc) is a plus
- Work experience in the payments, ecommerce, or financial services industry is a plus
Responsibilities
- Perform technical deep dive analyses on key business trends from multiple perspectives
- Identify key metrics and drive the building of exec-facing dashboards to track progress of the business and its highest priority initiatives
- Engage in problem solving with Risk, Product, Marketing, and various other teams to determine performance trends and root causes
- Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance
- Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives
- Play an active role in establishing experimentation best practices across the team
- Make data visually appealing and simple to both navigate and comprehend for end-users
Other
- Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience
- 6+ years professional experience in an analytical role
- Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership
- Ability to work in a flexible work environment, with 3 days in the office and 2 days at home
- Must be eligible to work in the US
