Position:
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Data Scientist
Company:
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Progressive Leasing (a subsidiary of PROG Holdings, NYSE: PRG)
Location:
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United States (Remote; can also be performed from offices in Utah or Arizona)
Job type:
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Full-time
Job mode:
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Remote
Job requisition id:
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JR101009
Years of experience:
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0-3 years
Company Description
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Progressive Leasing is a pioneering FinTech organization specializing in lease-to-own solutions for both in-store and e-commerce transactions.
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With over 20 years in the industry, the company has evolved from a startup to a market leader.
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They prioritize innovation, simplicity, and respect for all stakeholders, including customers, employees, and partners.
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Progressive Leasing is part of PROG Holdings, a publicly traded FinTech conglomerate that also owns Vive Financial and Four, a Buy Now Pay Later (BNPL) platform.
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The company fosters a culture of entrepreneurship and constant learning, driven by values like integrity, grit, and long-term vision.
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Teams at Progressive are known for moving fast, breaking barriers, learning from failures, and consistently delivering value.
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As a workplace, it is inclusive, forward-looking, and filled with passionate individuals committed to disrupting traditional financial systems.
Profile Overview
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As a Data Scientist at Progressive Leasing, you’ll operate at the intersection of analytics, software engineering, and business strategy.
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Your core responsibility will involve creating, maintaining, and improving advanced predictive models and decision systems.
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This role is instrumental in enhancing how Progressive understands its customers, optimizes its products, and drives growth.
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You’ll experiment with cutting-edge technologies, prototype new ideas, and evaluate emerging trends in analytics and machine learning.
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Collaboration is central, as you’ll work with a team of like-minded data professionals, as well as with stakeholders across the business.
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Your work will directly contribute to the company’s mission of modernizing financial services and delivering exceptional customer experiences.
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Expect to get hands-on with real-world data challenges, bringing both creative problem-solving and technical expertise to the table.
Qualifications
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Master’s degree in a quantitative or technical field such as Math, Statistics, Computer Science, Physics, Economics, or Engineering.
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Hands-on experience with programming and data analysis tools, especially in Python or R.
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Strong foundation in statistical modeling and machine learning concepts like classification, clustering, and regression.
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Demonstrated ability to analyze complex business problems using advanced techniques and translate insights into strategic actions.
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Proficient in SQL and comfortable working with large, complex datasets across different platforms.
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Familiarity with software development methodologies such as Agile/Scrum, Git version control, and basic DevOps practices.
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Analytical thinker who can connect business needs with technical solutions.
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Proven track record of achieving measurable business results through innovation and data-driven decision-making.
Additional Info
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The role is open to candidates anywhere in the continental US, with the flexibility to work from home.
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Competitive salary and performance-based growth opportunities are offered.
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Multiple paths for career development including leadership and advanced technical roles.
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Comprehensive benefits include full medical/dental/vision coverage, paid parental leave, paid volunteer hours, and generous time-off policies.
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Employee engagement is enriched through resource groups like Women in Leadership, PRIDE, and the Black Inclusion Group.
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Tuition reimbursement, charitable gift matching, and an employee stock purchase program are also provided.
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Required tools and services for the job will be provided by the company.
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To ensure genuine applications, candidates are asked to mention the word "pineapple" in their application.
Please click here to apply.
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