Principal Data Scientist

Lending Club (NYSE: LC) is the world’s largest online marketplace connecting borrowers and investors. Our mission is to transform the banking system to make credit more affordable and investing more rewarding and help people achieve their financial goals. We operate at a lower cost than traditional banks and pass the savings on to borrowers in the form of lower rates and to investors in the form of attractive risk adjusted returns.

Data, and lots of it, is at the core of Lending Club’s business. We use our rapidly growing dataset to understand the market, make credit decisions, predict performance, optimize ROI, and define product strategy. As part of the Data Solutions organization, the Principal Data Scientist will help us build off of big data analytic capabilities as well as partner with various business departments to find new ways to use data to drive the business.

* Design and develop key metrics to measure product quality, business growth, loan performance, credit risk and investment returns. * Partner with various business functions( operations, finance, credit, etc.) to formulate and define challenges, solve problems, and identify opportunities. * Build data science models to understand the market, make credit decisions, optimize ROI, improve customer experience and engagement, and define product strategy. * Present data science insights to business decision makers and suggest action items. * Collaborate with engineers to implement data science models into production.

* 8+ years in Data Science leveraging large data environment, programmatic techniques and analytic methods to solve complex business problems. * Advanced degree in mathematics, statistics, operation research, computer science or other quantitative fields. * Comprehensive knowledge in statistics and machine learning. * Hands on/advanced experience with SQL, Stat packages (SAS, R, etc), and common data processing/programming languages (Python). * Ability to explain data science insights to people with and without quantitative background * Ability to contribute independently, as well as collaborate in a team.