PayPal Senior Data Scientist 

United States, California, San Jose 

206378051

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

• 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 scalenew solutions

• new opportunities through deep dive analysesleveragingour rich datasets of behavioral and transactional user data

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

• new ideasto 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

• Mentor other data scientists in both technical and non-technical areas

What do you need to bring:

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

• At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions

• track recorddriving product strategy through analyses and data-centric presentations

• Strong 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

• Proven ability to mentor junior data scientists

• developing new visualizations intools such as Tableau

• Prior work experience inProductData Science(or adjacentspace)