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# Senior Data Scientist - Fleet Analytics

- **Company:** Hertz View all jobs
- **Location:** Estero, FL, United States
- **Experience:** Expert
- **Salary:** $105,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Query Languages, Decision Support Systems, Python (Programming Language), Machine Learning, SQL Databases, Scripting, Feature Engineering, Delivery Pipeline, Large Language Models, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.com/job/usd96c7d008b7f904afa5b0ccc7bca43d6/eaa

## About the Role

The salary range for this position is starting at $105,000; commensurate with experience., 5 years hands-on experience in a data scientist role
3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)
3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)
Demonstrated experience using machine learning to drive a business impact
Experience in a ML or data scientist role with car rental or technology company.
Bachelor or Masters degree in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering

## Description

At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities. Examples of projects the team work on include the below:L
Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.
Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.
Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.
Demand Planning: Forecast customer demand at a given location at a given time.
What You Will Do:
Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).
Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services
Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management
Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs.
Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.


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