What you need to know about the role Product Data Scientist for the P2P 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.
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, enjoy working in a fast-paced environment, and can deliver successful results with required guidance
Your day-to-day
Help to launch, measure, and scale new solutions to improve consumer experiences through AB testing
Identify new opportunities through deep dive analyses leveraging our rich datasets of user behavioral and transactional data
Translate ambiguous, unstructured business problems into actionable data-driven analyses
Size potential impact of new ideas and help prioritizing product roadmaps based on impact
Bring clarity to the performance of our key metrics and flows through well designed dashboards and reports
Act as thought partner to our product team and lead cross-functional projects (partner teams include product, engineering, design, user research, finance, machine learning, marketing, compliance, risk, customer service/operations)
Define and cultivate best practices in data logging and experimentation
Support multiple projects at the same time in a fast-paced, results-oriented environment
What do you need to bring
Experience influencing product strategy through analyses and data-centric presentations
Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments a plus
Experience with at least one querying language (e.g. SQL) and one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets
Strong interpersonal and project management skills, ability to work cross-functionally
Experience with visualization tools such as Tableau a plus, experience with building machine learning models a plus
Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus
4+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions