We are seeking a data scientist who can generate valuable insights from data through deep-dive analyses, who is experienced at supporting new product launches with robust experimentation plans, and who has the attention to detail to ensure monitoring is in place to track ongoing product performance.
Job Description:
Your way to impact:
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
Your day to day:
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
What do you need to bring:
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
