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, 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 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. Building and managing 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 that will enable him 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. 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. Design and architect data processing pipelines for the department. In this analytical position, the Data Science 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. Mentor members of data scientist and data analysts 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 architecture of relational database systems Designing and architecture of 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 solution in: SQL Server, Teradata, Cloud (AWS), Databricks, Delta Lakes Solid understanding of MS SQL Server, 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, failproof data pipeline solutions that drives Analytics & Data Science for Corporate Europe. In this analytical position, the Data Science 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