Job Description

The Data Scientist, Commercial Strategy and Insights will be responsible for supporting the commercial strategy and insights team, including but not limited to: Sales, Marketing, E-commerce, and Customer Experience.

What You’ll Do:

· Work closely with business partners to build descriptive, predictive and prescriptive models with the goal of maximizing profit and gaining a competitive advantage in the market.

· Curate data from many sources, including internal databases and external APIs, and aggregate to a format appropriate for building descriptive reports or predictive models.

· Solve complex analytical problems using quantitative approaches using unique blend of technical, business, mathematical, analytical and data skills.

· Use deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques and recommendation and optimization algorithms.

· Analyze large, complex multi-dimensional data sets with variety of tools.

· Partner with business stakeholders to prepare and maintain reports/dashboards that will be used to derive insights into past/present business performance.

· Articulate complex analytical/mathematical concepts to business partners in a digestible manner utilizing verbal, PowerPoint and visual analytical tools.

· This is a hybrid position, 3 days per week in office, the employee may be able to work from home on an as-needed basis.

What We’re Looking For:

· A bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Mathematics, Physics or Engineering or related field and 3 years of experience as a Data Scientist, Commercial Strategy and Insights or related role performing predictive modeling, data science, data engineering and analysis using Data Bricks, Amazon Web Services, SQL, and Tableau.

· Experience leveraging the Tableau data visualization platform to design and develop comprehensive dashboards for stakeholders.

· Experience utilizing AWS to architect and oversee the Customer Experience (CX) team’s internal data infrastructure.

· Experience developing and implementing solutions using Python Scripting languages.

· Experience harnessing SQL tools to work with both structured and unstructured data.

· Experience using Databricks for Data Science and AI Modeling, including leveraging Databricks to build and deploy AI models that enhance Customer Experience (CX) initiatives

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.