RM Data Science Analytics Engineer

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: Oversees the data science department’s training and competency development, determining best practices and work standards. The Data Science Analyst initiates data science programs across the department not only with a view of improving departmental performance but also with a focus on revenue growth and achievement of the business’ overall targets and objectives. Builds and manages new data tables that support data collection in the department, cross-channel data integration, data visualization, dashboards, predictive analytics, and data mining. Leverages 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 be useful in availing informed courses of action. Creates 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. Designs and architects data processing pipelines for the department. In this analytical position, the Data Science Analyst further drives the collection of new data as well as the refinement of existing business data sources. Leads the department in the development of new insights, advanced modeling techniques, and data science capabilities. Mentors members of data science and data analysis 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 system. 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. In this analytical position, the Data Science Analyst further drives the collection of new data as well as the refinement of existing business data sources. Leads 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. The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee 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.

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