Dаtа Sсіеntіѕt - Purchasing Power (Open to Relocation | Hybrid - Atlanta, GA)

Purchasing Power•Atlanta, GA

17d•Hybrid

About The Position

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 FinTech 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 are currently hiring a Data Scientist to help grow our company and ensure our mission is achieved! This is a hybrid role that requires in‑office presence in Atlanta, Georgia (Open to Relocating). 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.

Requirements

Bachelor’s degree with 2+ years of experience OR a Master’s/PhD in a quantitative or technical field (Math, Statistics, Economics, Engineering, Physics, Computer Science)
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
Curious, adaptable, and open to learning as roles and workflows evolve

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 Purchasing Power's competitive advantage
Explore new data sources both internal and external to Purchasing Power 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
Use AI-enabled tools throughout your workflows
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