The Hertz Corporation operates the Hertz, Dollar Car Rental, and Thrifty Car Rental brands in approximately 9,700 corporate and franchise locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia, and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
The Data Science Analyst is responsible for Applications, Tools, and Models that deliver actions and insights from Hertz's rich history of observational data. Working closely with management, Analytics, and the Data Science team, the Data Science Analyst will build descriptive, predictive, and prescriptive models and support applications with the ultimate goal of maximizing profit and gaining a competitive advantage in the market.
What You'll Do:
1. Oversee the data science department's training and competency development, determining best practices and work standards. Initiate data science programs across the department to improve performance and focus on revenue growth and achievement of overall business targets and objectives.
2. Build and manage new data tables that support data collection in the department, cross-channel data integration, data visualization, dashboards, predictive analytics, and data mining.
3. Leverage data science tools and techniques in analyzing large data-sets to develop custom models and algorithms to uncover insights, trends, and patterns in the data, which will inform courses of action.
4. Create data science platforms to test and experiment with techniques inclusive of advanced analytics, behavioral modeling, and churn, capitalizing on new data science approaches that can yield revenue for the business.
5. Design and architect data processing pipelines for the department, driving the collection of new data and refinement of existing business data sources.
6. Lead the department in the development of new insights, advanced modeling techniques, and data science capabilities.
7. Mentor members of the data science and data analyst teams in best practices for data preparation, analysis, coding, and modeling.
What We're Looking For:
Educational Background:
- Degree in a quantitative field with an emphasis on predictive modeling, including: Statistics, Data Science, Operations Research, Industrial Engineering, Actuarial Science, Mathematics, or Economics.
- Graduate degree preferred but not required in lieu of experience.
Required Experience:
- Designing and architecting relational database systems.
- Designing and architecting distributed structured/unstructured data lakes/meshes systems.
- Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining.
- Experience in designing solutions in: SQL Server, Teradata, Cloud (AWS), Databricks, Delta Lakes.
- Solid understanding of MS SQL Server and Apache Spark.
- Fluency in languages: SQL (T-SQL, Spark SQL), Python.
- Experience in PySpark.
- Strong problem-solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
What You'll Strive For:
- Design & build high-performance, fail-proof data pipeline solutions that drive Analytics & Data Science for Corporate Europe. Lead the department in the development of new insights, advanced modeling techniques, and data science capabilities.
What You'll Get:
- Up to 40% off the base rate of any standard Hertz rental in a Corporate country.
- Paid Time Off.
- Employee Assistance Programme for employees and family.
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