Senior Data Scientist - Fleet Analytics
Role details
Job location
Tech stack
Job 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
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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.
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Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.
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Optimize Decision Making: Create models to determine if we should keep/sell/salvage a vehicle.
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Demand Planning: Forecast customer demand at a given location at a given time.
What You Will Do:
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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).
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Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services
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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
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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.
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Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.
Requirements
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3-5 years hands-on experience in a data scientist role
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3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)
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3+ years of end-to-end machine learning model development experience (e.g. proble
Benefits & conditions
The salary range for this position is starting at $105,000; commensurate with experience.