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Sr Data Scientist - Commercial

Hertz Global Hldgs INC - GA, United States

Posted Mar 6, 2026

Benefits

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About this role

Sr Data Scientist - Commercial GA, United States Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented Sr. Data Scientist to join a team that is responsible for optimizing Hertz's revenue offers. The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions What You'll Do: Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling Enhance existing analytical tools and develop new solutions/tools based on large data sets Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader Balance multiple priorities in a fast-paced environment Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience Developing the Data Analytics Team Other duties and tasks as assigned What We're Looking For:

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Apply link verified; last checked Jun 13, 2026.

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