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Senior Data Scientist
Progressive Leasing. Lead the design, build, and maintenance of decision systems and predictive models key to Progressive Leasing's competitive advantage .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesPythonSQL
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