RM Data Science Analytics Engineer

Job Title: RM Data Science Analytics Engineer

About the Role

The Data Science Analyst at Hertz plays a crucial role in developing applications, tools, and models that leverage our extensive history of observational data. This role involves close collaboration with management, analytics, and the data science team to build and support descriptive, predictive, and prescriptive models. The ultimate goal is to maximize profit and gain a competitive advantage in the market.

Key Responsibilities

• Oversee the data science department’s training and competency development, determining best practices and work standards.
• Initiate data science programs to improve departmental performance with a focus on revenue growth and achieving overall business targets.
• Build and manage new data tables that support data collection, cross-channel data integration, data visualization, dashboards, predictive analytics, and data mining.
• Leverage data science tools and techniques to analyze large datasets, developing custom models and algorithms to uncover insights, trends, and patterns.
• Create data science platforms to experiment with advanced analytics, behavioral modeling, and churn, capitalizing on new data science approaches for revenue generation.
• Design and architect data processing pipelines for the department, collecting new data and refining existing business data sources.
• Lead the development of new insights, advanced modeling techniques, and data science capabilities.
• Mentor data scientists and data analysts in best practices for data preparation, analysis, coding, and modeling.

Qualifications

Educational Background

• Degree in a quantitative field focused on predictive modeling, such as Statistics, Data Science, Operations Research, Industrial Engineering, Actuarial Science, Mathematics, or Economics.
• Graduate degree preferred but not required with relevant experience.

Required Experience

• Experience in designing and architecting relational database systems and distributed structured/unstructured data lakes/meshes systems.
• Skilled in finding data patterns and creating statistical models, data exploration, data visualization, and data mining.
• Proficiency in SQL Server, Teradata, Cloud (AWS), Databricks, Delta Lakes, Apache Spark, and MS SQL Server.
• Fluency in SQL (T-SQL, Spark SQL) and Python.
• Experience with PySpark.
• Strong problem-solving and critical thinking skills, with a proven track record in identifying, diagnosing, and solving complex problems with simple, logical solutions.

Goals

• Design and build high-performance, failproof data pipeline solutions that drive analytics and data science for Corporate Europe.
• Lead the development of new insights, advanced modeling techniques, and data science capabilities within the department.

Benefits

• Up to 40% off the base rate of any standard Hertz rental in a Corporate country.
• Paid Time Off.
• Employee Assistance Programme for both employees and their families.

About Us

The Hertz Corporation operates the Hertz, Dollar Car Rental, and Thrifty Car Rental brands at approximately 9,700 corporate and franchise locations globally, including North America, Europe, the Caribbean, Latin America, Africa, the Middle East, Asia, Australia, and New Zealand. Hertz is one of the largest worldwide airport general-use vehicle rental companies, and our brand is among the most recognized around the world.

Join Hertz: Be part of a leading company with a rich history and a stellar reputation in car rental services across the globe. Apply today to join our team as a RM Data Science Analytics Engineer!