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Progressive Leasing

Lease-to-own POS solutions provider

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of experience in product or data analytics.
  • A bachelor's degree in a quantitative or technical field, such as mathematics, statistics, economics, engineering, physics, or computer science.
  • Experience with R, Python, machine-learning tools, and SQL.
  • Evidence of applying advanced models to real-world problems.
  • Ability to design rigorous research and evaluation studies.

Responsibilities

  • Build, maintain, and improve decision systems and predictive models that are key to Progressive Leasing's competitive advantage.
  • Explore new internal and external data sources 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 and creative problem solving.
  • Identify, evaluate, and help implement advanced analytics methods.

Desired Qualifications

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

About the Company

Progressive Leasing

Lease-to-own POS solutions provider

Progressive Leasing provides in-store, online, and app-based lease-to-own options to help credit-challenged customers purchase merchandise like furniture, appliances, electronics, and more. Its technology-based proprietary platform gives instant approval decisions and flexible terms at the point of sale, enabling quick ownership of items with transparent, ongoing payments. Unlike some lenders, Progressive Leasing emphasizes real-time decisions, clear terms, and broad access through multiple purchase channels, backed by PROG Holdings, a fintech parent company. The company aims to empower customers financially and expand opportunities for affordable ownership, reflecting its mission to create a better today and unlock tomorrow through financial empowerment.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Draper, UT
Founded
1999

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