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A leading FinTech company is seeking a Data Scientist to enhance decision systems and predictive models. This remote role involves analytics, data mining, and machine learning to drive business insights and innovation. Candidates should have a Master's degree and experience in R or Python, with a focus on problem-solving and delivering results.
Join to apply for the Data Scientist (Remote) role at Progressive Leasing.
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As a nearly 20-year-old FinTech company that has grown from start-up to industry leader, we focus on innovation, simplification, and valuing all people. We are founded on grit and continually look toward the future. As a dynamic group of entrepreneurs and technologists, we strive to do the right thing in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), a diverse FinTech holding company with segments including Progressive, Vive Financial, and Four, a BNPL platform.
We are currently hiring a Data Scientist to help grow our company and achieve our mission.
This role is a remote work position and can be performed anywhere in the continental US or at our locations in Utah or Arizona.
A team of ambitious entrepreneurs, FinTech experts, passionate about disrupting markets, dedicated to modernizing and accelerating our technology. We embrace rapid movement, innovation, learning from mistakes, and continuous delivery.
A motivated analytics professional. As a Data Scientist, you will combine analytics, data mining, machine learning, and software engineering to develop solutions that significantly impact our business. You will build and enhance decision systems and predictive models, gaining deep insights into our customers, processes, products, and financials. You will have the opportunity to develop your own tools and technologies in this fast-evolving field and be part of a team that forms the backbone of our growth in a thriving industry.
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Progressive Leasing values diversity and is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics.