Sr Data Scientist

About the Role

Key Responsibilities

• Build and validate predictive models that estimate the impact of 'Problem Rate' and its sub-drivers (e.g., availability, wait time, maintenance, billing) on overall NPS and CSAT.
• Segment loyalty tiers (PC, Gold, non-member) and first-time versus repeat customers to identify the factors influencing promoters and detractors.
• Develop 'what-if' frameworks to forecast NPS changes tied to operational or strategic initiatives and present quantified lift estimates to senior stakeholders.
• Leverage Python and SQL on Databricks to extract, transform, and stage diverse datasets such as survey responses, rental transactions, customer profiles, and partner data for analysis.
• Collaborate with CX, Care, Technology, and external Qualtrics engineers to source data, align on definitions, and operationalize insights into dashboards or in-platform analytics.
• Package findings into clear, actionable deliverables including data products, dashboards (Tableau/Power BI), presentations, and model documentation to guide business strategy.
• Champion reproducible analytics workflows, data quality checks, and automation to accelerate the team's ability to deliver high-impact insights.

Requirements

• Bachelor's degree required, with preference for a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Engineering, Economics); or master's degree preferred.
• Minimum of 5 years in advanced analytics or data science roles, ideally with a focus on customer experience, NPS, CSAT, or related domains.
• Proficient in Python and SQL for data analysis and model development.
• Hands-on experience with Databricks for extracting, combining, and transforming large datasets; prior experience creating Databricks applications is a plus.
• Familiarity with Tableau or Power BI for delivering self-service analytics.
• Prior work in automotive/vehicle rental, travel & hospitality, or broader consumer services is a strong plus.
• Proven ability to design, build, and validate sophisticated analytical models such as predictive regressions, time-series forecasts, clustering, and root-cause analyses.
• Ability to distill complex analyses into concise, non-technical narratives and influence cross-functional teams and leadership.
• Results-oriented with a bias for action, capable of defining success metrics, owning end-to-end deliverables, and driving continuous improvement.

Nice to Have

• Prior experience creating Databricks applications.
• Experience in automotive/vehicle rental, travel & hospitality, or broader consumer services.

Benefits & Perks

• Up to 40% off any standard Hertz Rental
• Paid Time Off
• Medical, Dental & Vision plan options
• Retirement programs, including 401(k) employer matching
• Paid Parental Leave & Adoption Assistance
• Employee Assistance Program for employees & family
• Educational Reimbursement & Discounts
• Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
• Perks & Discounts - Theme Park Tickets, Gym Discounts & more