AVP & Vice President - Data Science - BFS

Preferred Skills :

- Design, execute, and interpret statistical analyses to drive insights and strategy

- Experience in the development of statistical and machine learning models (e.g. logistic regression, random forests, gradient boosting, neural networks)

- Experience in developing credit models and/or analytics to support credit strategy

- Experience using credit bureau data to develop credit models

- Leverage creative analytical problem solving skills while using large data sets from a broad range of sources

- Query enterprise databases using SQL to obtain relevant data for analysis

- Write computer programming code in R, SAS, Python, and Scala to perform statistical analyses and develop machine learning solutions to business problems

- Use classical and modern statistical techniques (hypothesis testing, AUC, correlation analysis, clustering analysis) to draw coherent conclusions about the business's data

- Effectively reshape data to run efficiently on advanced analytics platforms including Hadoop using Spark

- Translate classical statistical methods written in SAS, R, and Python into code that can execute using Spark

- Write summary documentation of analyses performed for both technical and non-technical audiences within the firm

- Present results to peers and higher levels of management

- Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems