Sr. Data Scientist

What you need to know about the role Buy Now Pay Later Analytics team is looking for a data scientist who is strong at generating valuable insights from data through exploratory analytics, predictive analytics and A/B testing. They should be proficient at supporting the launch of new products and product features through constant monitoring of product performance and impact. Meet our team Our analytics team partners with commercial leaders and product managers to shape the strategy of Buy Now Pay Later suite of products at PayPal through data driven decision making. 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 extremely passionate about data and testing (e.g., 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 energized, fun-loving and an adventurous team player 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 Data-driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics 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 written and verbal communication skills to influence stakeholders Experience with visualization tools such as Tableau preferred Prior work experience in a product analytics space would be highly-valued