Data Scientist; Remote

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a Fin Tech holding company with more than 20 years of experience, we’re focused on building simple, responsible financial solutions that put people first. PROG Holdings’ portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform — all united by a commitment to innovation, access, and meaningful impact.

We’re 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 U.S. or in our corporate office in Utah.

We’re an entrepreneurial, high‑ownership team building data‑driven products in the Fin Tech 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 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, developing a profound understanding of our customers, products, and finances by studying the data that describes each of these elements.

You’ll be at the forefront of a 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.

• Build, maintain, and improve decision systems and predictive models key to Progressive Leasing’s competitive advantage
• Explore new data sources, both internal and external, 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 and creative problem solving
• Identify, evaluate, and help implement advanced analytics methods
• Be part of a collegial team of like‑minded data scientists

• 2+ years experience
• Master’s degree in a quantitative or technical field (Math, Stats, Econ, Eng, Phys, Comp Sci)
• Experience with R, Python, machine learning tools, and SQL
• Evidence of applying advanced models to real‑world problems
• Ability to conduct rigorous research and evaluation designs
• Curiosity, adaptability, and openness to learning as roles and workflows evolve

• Experience in engineering environments
• Knowledge of Dev Ops and Git
• A track record of agentic AI use and implementation

• Competitive compensation
• Approaches to grow in data science/leadership paths
• Full health benefits:
  Medical/Dental/Vision/Life + Parental Leave
• Company‑matched 401(k)
• Paid Time Off + Volunteer Hours
• ERGs (Black, Women, PIRD/E, Adelante)
• Employee Stock Purchase Program
• Tuition Reimbursement
• Charitable Gift Matching
• Necessary equipment and services

Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.