Data Scientist

Co Dublin
Permanent
Full-time

1 month ago

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.

Hertz

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