Progressive Leasing is hiring for an entry level Data Scientist role in US

Position:

• Data Scientist

Company:

• Progressive Leasing (a subsidiary of PROG Holdings, NYSE: PRG)

Location:

• United States (Remote; can also be performed from offices in Utah or Arizona)

Job type:

• Full-time

Job mode:

• Remote

Job requisition id:

• JR101009

Years of experience:

• 0-3 years

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Company Description

• Progressive Leasing is a pioneering FinTech organization specializing in lease-to-own solutions for both in-store and e-commerce transactions.

• With over 20 years in the industry, the company has evolved from a startup to a market leader.

• They prioritize innovation, simplicity, and respect for all stakeholders, including customers, employees, and partners.

• 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.

• The company fosters a culture of entrepreneurship and constant learning, driven by values like integrity, grit, and long-term vision.

• Teams at Progressive are known for moving fast, breaking barriers, learning from failures, and consistently delivering value.

• As a workplace, it is inclusive, forward-looking, and filled with passionate individuals committed to disrupting traditional financial systems.

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Profile Overview

• As a Data Scientist at Progressive Leasing, you’ll operate at the intersection of analytics, software engineering, and business strategy.

• Your core responsibility will involve creating, maintaining, and improving advanced predictive models and decision systems.

• This role is instrumental in enhancing how Progressive understands its customers, optimizes its products, and drives growth.

• You’ll experiment with cutting-edge technologies, prototype new ideas, and evaluate emerging trends in analytics and machine learning.

• Collaboration is central, as you’ll work with a team of like-minded data professionals, as well as with stakeholders across the business.

• Your work will directly contribute to the company’s mission of modernizing financial services and delivering exceptional customer experiences.

• Expect to get hands-on with real-world data challenges, bringing both creative problem-solving and technical expertise to the table.

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Qualifications

• Master’s degree in a quantitative or technical field such as Math, Statistics, Computer Science, Physics, Economics, or Engineering.

• Hands-on experience with programming and data analysis tools, especially in Python or R.

• Strong foundation in statistical modeling and machine learning concepts like classification, clustering, and regression.

• Demonstrated ability to analyze complex business problems using advanced techniques and translate insights into strategic actions.

• Proficient in SQL and comfortable working with large, complex datasets across different platforms.

• Familiarity with software development methodologies such as Agile/Scrum, Git version control, and basic DevOps practices.

• Analytical thinker who can connect business needs with technical solutions.

• Proven track record of achieving measurable business results through innovation and data-driven decision-making.

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Additional Info

• The role is open to candidates anywhere in the continental US, with the flexibility to work from home.

• Competitive salary and performance-based growth opportunities are offered.

• Multiple paths for career development including leadership and advanced technical roles.

• Comprehensive benefits include full medical/dental/vision coverage, paid parental leave, paid volunteer hours, and generous time-off policies.

• Employee engagement is enriched through resource groups like Women in Leadership, PRIDE, and the Black Inclusion Group.

• Tuition reimbursement, charitable gift matching, and an employee stock purchase program are also provided.

• Required tools and services for the job will be provided by the company.

• To ensure genuine applications, candidates are asked to mention the word "pineapple" in their application.

Please click here to apply.

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