PayPal Data Scientist 

France, Auvergne-Rhône-Alpes 

107379912

What you need to know about the role

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/Bexperimentation

• 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

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 diveanalyses leveraging ourrich 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 andexperimentation

• 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. hypothesistesting, 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 leadcross-functionally

• Experience with visualization tools such as Tableau preferred

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

Our Benefits:

Any general requests for consideration of your skills, please