Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz holds the largest EV rental fleet and is combining its brand strength and global fleet management expertise with new technology and innovations to chart a dynamic, new course for travel, mobility, and the auto industry. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in electrification, shared mobility, and a digital-first customer experience.

At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using internal and external data to provide actionable and strategic insights.

You will work closely with data engineers, analysts, software developers and product managers within the business to deliver new and exciting products and services. Your main objective is to leverage advanced analytics techniques to deeply understand our product performance and generate insights to drive operational efficiency and effectiveness by enabling proactive data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. 

The role of the incumbent is to work on impactful strategic initiatives and use state of the art technologies to solve complex problems to enable and optimize our digital, connected fleet, pricing, and ridesharing products.

This position is initially a 6-month specified purpose contract.

What You’ll Do:

 

• Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large, complex datasets
• Analyze and define success and performance metrics for current and new business initiatives, with a specific focus on A/B tests
• Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services
• 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
• Integrate and curate data from a wide range of internal and external sources to develop detailed reports and datasets for predictive modeling
• Liaise with stakeholders within the company to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance
• Guide business leaders with confidence in your analytics and reporting to ensure smooth execution
• Oversee the upkeep and optimization of current ETL pipelines and dashboards

What We’re Looking For:

• Minimum of 5 years hands-on experience in a data science or data analytics role.
• Minimum 2 years of intensive experience with cloud-based Big Data, ML and Analytics technologies, preferably Databricks.
• Experience with event driven architectures and implementing analytics on data streams utilizing technologies such as BigQuery
• Experience with Data Visualization tools such as Tableau
• Strong capabilities in SQL and experience working with structured and semi-structured data.
• Strong interpersonal and communication skills with Agile/Scrum experience
• Strong capabilities in scripting languages such as Python
• Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels.
• A bachelor's degree or higher in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering.