Responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing
Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods
Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients
Working with other departments to achieve the overall company objectives
Leading in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.
Requirements
4+ yrs as a Data Scientist or similar quantitative field required
Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree)
Benefits
Generous benefits package available on day one to include: 401K matching
bonding leave for new parents (12 weeks, 100% paid)