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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


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.


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.


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.


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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