Data Scientist

Hertz Global   •  

Estero, FL

Industry: Hospitality & Recreation


8 - 10 years

Posted 179 days ago

This job is no longer available.

Enterprise Data Infrastructure

  • Establish business requirements for building the next generation enterprise data platform.
  • Build big data and machine learning infrastructure with the state of the art emerging data tools and technologies.
  • Manage, develop and lead an adaptive, innovative and future-looking analytics team that includes agile and actionable business intelligence operations.
  • Build the next generation Telematics platform for Hertz that would drive fleet and operational efficiencies along with revenue optimization.
  • Partners with key business leaders to proactively determine how data and insights can better inform and support their goals.
  • Proactively identify insights and diagnose issues and opportunities, and provide action plans to stakeholders to course correct issues and capture incremental revenue opportunities.
  • Provides leadership by exhibiting influence and expertise, thus affecting the results of the operating area.
  • Streamline creation and delivery of reporting, to improve efficiency and improve total group through-put over time.

Data Science, Modeling & Special Projects

  • Steward, build, and maintain advanced analytics infrastructure that enables reporting automation (driving efficiencies) and computationally intensive processing (driving insights & profit generating recommendations)
  • Advanced Analytical model building and operationalization to drive business decisions and strategies. Examples include Ancillary Revenue Recommendation Engine, Rental behavior segmentation & propensity modeling, Customer Lifetime Value Modeling, Digital Attribution.
  • Execute adhoc projects, often requiring input and frequent interaction with senior leaders.
  • Develop KPIs and track success of special projects. Provide recommendations on strategy.
  • Develop advanced analytics models as foundation / input into Revenue Management strategy and operations.
  • Present complex analysis to senior stakeholders in a succinct, structured, compelling, and convincing manner.

Mandatory Requirements

Educational Requirements:

  • Masters-level degreerequired. Preferred fields of study including Industrial Engineering, Operations Research, Advanced Statistics, Data Mining and Modeling.


 Knowledge & Skills:

  • Expert level skills with emerging big data tools and technologies.
  • In-depth knowledge of data-mining concepts including data collection, analysis (including ad-hoc), reporting, and visualization.
  • Demonstrated ability to construct complex and automated analytical models & algorithms from large-scale data sets, including interfacing with outside vendors when necessary.
  • Prior experience dealing with large scale customer data & associated metrics.

Professional Requirements:

  • Minimum 7+ year’s previous experience in Analytics, Reporting and Business Intelligence role required.
  • 3-5+ years direct experience leading a multi-level team.
  • Demonstrated capabilities delivering & disseminating advanced analytics results and metrics to VP & C-level stakeholders.B