Hertz · 2 months ago
Data Scientist (Commercial Analytics)
Hertz is seeking a highly motivated data scientist to optimize revenue offers through proprietary optimization products. The role involves collaboration across multiple departments to identify opportunities and deliver end-to-end solutions that enhance customer offers and increase revenue.
AutomotiveLeisureTransportation
Responsibilities
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
Qualification
Required
Master's degree (or current enrollment) in operations research, statistics, computer science, or a related quantitative field required
Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise
Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.)
Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.)
Experience with big data: processing, filtering, and presenting large quantities of data
Ability to understand and work with large, unstructured data sets
Proven success in solving complex quantitative problems
Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through
Demonstrated ability to handle multiple projects through to solution delivery
Consistently prioritizes safety and security of self, others, and personal data
Embraces diverse people, thinking, and styles
Preferred
2+ years of graduate coursework of Ph.D. in operations research, statistics, computer science, or related science field
Experience with time series forecasting, reinforcement learning, machine learning, or optimization
2+ years of industry experience in data science or operations research
Knowledge of revenue management theory or travel industry systems/data
Benefits
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
Company
Hertz
Hertz is an airport general use car rental company.
H1B Sponsorship
Hertz has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (62)
2024 (32)
2023 (42)
2022 (31)
2021 (9)
2020 (46)
Funding
Current Stage
Public CompanyTotal Funding
$2.86B2025-09-25Post Ipo Debt· $375M
2025-06-30Post Ipo Debt· $985M
2024-12-05Post Ipo Debt· $500M
Recent News
2026-01-13
2026-01-13
2025-12-26
Company data provided by crunchbase