Senior Data Scientist - Fleet Analytics

Senior Data Scientist 

The Company 

Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in digital-first customer experience, shared mobility and electrification.  

The salary range for this position is starting at $105,000; commensurate with experience.

The Role 

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. 

What We are Looking For: 
  

• 3-5 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 de