Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.
We are currently hiring a Data Scientist to help grow our company and ensure our mission is achieved!
This role is a work from home position and can be performed remotely anywhere in the continental US or in one of our corporate locations in Utah or Arizona.
WE ARE: A team of hungry entrepreneurs with big dreams, gritty FinTech experts, passionate about disrupting big markets, joined on a mission to modernize and accelerate our technical environment. We like to move quickly, break things, make mistakes, and get better every day, as long as we are continuously delivering.
YOU ARE: A driven analytics professional. As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way we do business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact. You will develop a profound understanding of our customers, business processes, products, and financials by studying the data that describe each of these elements of our business. You will be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies as you do. Most importantly, you’ll be part of a team that forms the backbone of a fast-growing company at the forefront of an exciting, growing industry.

Please refer the Job description for details