Sr Data Scientist - Data Science & Insights

Hertz•West Bay Club, FL

16h

About The Position

As a Senior Data Scientist on the Data Science & Insights team, you will use data science to support business transformation by improving how decisions are made and how complex problems are solved. You will work on practical, scalable data science solutions that improve operational performance, strengthen forecasting, and enhance the customer experience. You will balance technical depth with business judgment, moving quickly from problem definition to usable solutions, collaborating across teams, and helping the organization make faster, smarter decisions.

Requirements

Master’s degree preferred; Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
5+ years of experience in data science, with a proven track record of delivering impactful projects, preferably in the rental car, automotive, transportation, or hospitality industries.
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
3+ years of end-to-end machine learning model development experience, from problem framing and EDA through feature engineering, tuning, and deployment.
Experience working with large datasets, databases, and distributed data processing tools such as PySpark.
Ability to connect the dots across data sources and shape analysis into practical solutions teams can implement.
Strong communication skills, with the ability to engage senior leaders and explain complex concepts clearly.
Ability to visualize metrics, analysis, and solutions in ways that drive understanding and action.

Nice To Haves

Preferred hands-on experience with cloud-based data and analytics platforms such as Databricks, including building apps and dashboards.
Experience using LLMs to connect fragmented data sources, validate assumptions, and accelerate analysis is a plus.

Responsibilities

Lead the end-to-end model lifecycle, from problem framing and EDA to feature engineering, model tuning, deployment, and monitoring.
Build scalable, reliable models and analytical solutions that support repeatable decision-making across products, services, and business processes.
Apply these solutions to improve demand forecasting, fleet planning, vehicle turnaround, maintenance planning, and customer satisfaction.
Create leadership-ready data stories that frame key metrics, explain the “why,” and guide business decisions.
Partner with Product, Operations, Revenue Management, and Fleet teams to identify, prioritize, and deliver high-value use cases that support revenue growth, operating expense reduction, and improved business performance.
Support the transformation by developing practical MVPs, testing quickly, and iterating solutions that unlock business value.
Mentor junior data analysts and contribute to a culture of learning, innovation, and quick experimentation.
Stay current on data science methods, emerging technologies, and industry trends to continually improve team capabilities.