Data Scientist

Job title:

Data Scientist

Company:

Hertz

Job description

Job Category: ITJob Description:Job Description: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.

What you Get:

  • Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
  • Hybrid/flexible working arrangements.
  • 22 days holidays on hire rising to 27 days with service.
  • Occupational Pension Scheme with up to 5% company matched contribution.
  • Life Cover payable at 4 times base salary.
  • Profit Share Scheme.
  • Tuition support plus access to compressive online learning platform.
  • 10 days paid study leave & paid exam leave where exams fall during work hours.
  • Income protection for long term illness.
  • Professional membership fees paid in full annually where membership relates directly to role.
  • Bike to Work & Travel Pass schemes.
  • Employee Assistance Programme for employees and family.
  • Occupational Health support.
  • Christmas savings scheme.

Expected salary

Location

Co Dublin

Job date

Sat, 26 Jul 2025 02:34:23 GMT

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yonnetim

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yonnetim
Tags: scrum

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