Hertz Revenue Management is seeking a data scientist to optimize Hertz's revenue offers by designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz.
Requirements
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, etc.)
- Experience with 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
- Experience with time series forecasting, reinforcement learning, machine learning, or optimization.
- Knowledge of revenue management theory or travel industry systems/data
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
- Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader
- Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience
- Develop data sources, methods, tools and models
- Prototype products, and deliver end-to-end solutions
Other
- Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise
- 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.
