Dаtа Sсіеntіѕt (Remote)

Progressive Leasing

5d•Remote

About The Position

Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. With more than 20 years in FinTech, we’ve grown from start-up to industry leader by innovating, simplifying, and valuing people. We are a subsidiary of PROG Holdings (NYSE: PRG), a FinTech holding company with three business segments: Progressive Leasing, Purchasing Power (a leading employee purchase program for consumer products and services using payroll deduction), 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 our corporate office in Utah. We’re an entrepreneurial, high-ownership team building data-driven products in the Fintech space. We set a high bar for ourselves and we expect everyone on the team to do the same. We move fast, but we’re deliberate: decisions are grounded in data, rigorous analysis, and a deep respect for real-world impact. 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, predictive models, and business processes to drive maximum business impact. You will develop a profound understanding of our customers, products, and financials by studying the data that describe each of these elements. You’ll be at the forefront of this rapidly evolving field and have the opportunity to develop your own tools and technologies. Most importantly, you’ll be part of a team that forms the backbone of a company at the forefront of an exciting, growing industry.

Requirements

2+ years experience
Master’s degree in a quantitative / technical field (Math, Stats, Econ, Eng, Physics, CompSci)
Experience with R, Python, machine learning tools, and SQL
Evidence of applying advanced models to real-world problems
Ability to craft rigorous research / evaluation designs

Nice To Haves

Experience in engineering environments
Knowledge of DevOps and Git
A track record of agentic AI use and implementation

Responsibilities

Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing’s competitive advantage
Explore new data sources both internal and external to Progressive and use findings to further improve model performance
Design, implement, and read in-market experiments testing new algorithms, technologies, and processes
Prototype solutions to business problems using cutting-edge technologies
Recommend and support strategic changes through rigorous analytics, creative problem solving
Identify, evaluate, and help implement advanced analytics methods
Be part of a collegial team of like-minded data scientists!