Data Scientist

What you need to know about the role

Product Data Scientist for the Checkout Analytics team who is strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.

Meet our team

Consumer GADS (Global Analytics and Data Science) shapes the strategy of our Consumer Products at PayPal and Venmo through data driven decision making. Checkout is a flagship product that youll be working on analytics for as a part of this team.

• You believe in data-driven decisions and use data to answer business questions

• You are hyper-analytical, intellectually honest, and passionate about data and A/B experimentation

• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance

• You are curious and inquisitive you love digging into data and uncovering insights

• You are motivated by improving the experience customers have with the products you work on

• Help to launch, measure, and scale new solutions to improve customers experiences with the PayPal App and website

• Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data

• Translate ambiguous, unstructured business problems into actionable and data-driven analyses

• Size potential impact of new ideas to help prioritize product roadmaps

• Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports

• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features

• Define and cultivate best practices in analytics instrumentation and experimentation

• Support multiple projects at the same time in a fast-paced, results-oriented environment

• Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees preferred

• At least 3 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions

• Experience influencing product strategy through analyses and data-centric presentations

• Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments

• Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets

• Strong interpersonal and project management skills, ability to lead cross-functionally

• Experience with visualization tools such as Tableau preferred

• Prior work experience in a product analytics space would be highly-valued

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