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Progressive Leasing

Senior Data Scientist

Progressive Leasing

. Lead the design, build, and maintenance of decision systems and predictive models key to Progressive Leasing's competitive advantage .

Posted 10/2/2026full-timeRemote • Utah • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing decision systems and predictive models, leveraging advanced analytics and machine learning tools to drive strategic business outcomes. Proficient in mentoring junior data scientists and communicating complex findings to diverse stakeholders.

Highest-signal resume keywords
Machine LearningR ProgrammingPython ProgrammingSQLData Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Predictive ModelingAdvanced AnalyticsResearch DesignAlgorithm DevelopmentStatistical Analysis
Soft Skills
Strong CommunicationCreative Problem SolvingMentoring
Tools & Technologies
DevOpsGit
Industry Keywords
Data ScienceQuantitative AnalysisBusiness ImpactIn-Market ExperimentsTechnical Project Leadership

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead the design, build, and maintenance of decision systems and predictive models key to Progressive Leasing's competitive advantage
  • Explore internal and external data sources and use findings to improve model performance
  • Design, implement, and read in-market experiments testing new algorithms, technologies, and processes
  • Prototype solutions to ambiguous business problems using cutting-edge technologies
  • Recommend and drive strategic changes through rigorous analytics and creative problem solving
  • Communicate findings to senior stakeholders
  • Identify, evaluate, and lead implementation of advanced analytics methods
  • Mentor and support junior data scientists
  • Contribute to code reviews, modeling standards, and best practices

Requirements

What you’ll need
  • 4+ years of experience
  • Master's degree in a quantitative / technical field (Math, Stats, Econ, Eng, Physics, CompSci)
  • Deep experience with R, Python, machine learning tools, and SQL
  • Proven track record of applying advanced models to real-world problems and delivering measurable business impact
  • Ability to craft rigorous research / evaluation designs
  • Ability to independently own projects end to end, from problem definition through deployment
  • Strong communication skills, including explaining technical results to non-technical audiences
  • Experience in engineering environments
  • Knowledge of DevOps and Git
  • A track record of agentic AI use and implementation
  • Experience mentoring or leading technical projects

Benefits

Comp & perks
  • Competitive Compensation
  • Approaches to grow on data science / leadership paths
  • Full Health Benefits: Medical / Dental / Vision / Life + Parental Leave
  • Company-Matched 401k
  • Paid Time Off + Volunteer Hours
  • ERGs (Black, Women, PRIDE, Adelante)
  • Employee Stock Purchase Program
  • Tuition Reimbursement
  • Charitable Gift Matching
  • Necessary Equipment & Services