Fleet planning team at Hertz is highly analytical and data driven function. The team is responsible for planning procurement, allocation and selling of fleet for North America Rent-A-Car business. Vehicle depreciation is the biggest cost for Hertz (about 1.8 billion dollars annually). It is impacted by many macro/micro economic factors including gas prices, new vehicle production, consumer demand and technological changes. We are constantly looking to better forecast used car sale prices and other costs.
As a Data Scientist, you would build predictive modelling for various projects. You will enhance and support Hertz’s used car pricing models to incorporate impact of options, volume, incentives and other factors.
- Build models for forecasting changes in used car market
- Pricing cars for used car wholesale channels (Auctions and Dealer Direct)
Knowledge, skills and experience
- Masters with 3+ years of experience as data scientist