Data Scientist

Hertz is one of the world’s largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.

As a Data Scientist at Hertz, you’ll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You’ll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.

What You’ll Do:

• Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
• Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
• Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
• Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
• Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.

What We’re Looking For:

• Minimum 3 years of hands-on experience in a data science role.
• Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies — preferably with Databricks.
• Experience working with Google Tag Manager clickstream data is a strong plus.
• Proficient in SQL, with experience handling both structured and unstructured data.
• Strong experience in Python or similar scripting languages.
• Strong interpersonal and communication skills, with experience working in agile/scrum environments.
• Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
• Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
• A bachelor’s degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.