Senior Data Scientist

Hertz • West Bay Club, FL

7h • Hybrid

About The Position

The Senior Data Scientist will be responsible for building descriptive, predictive and prescriptive data models using: AWS, Azure, Databricks. 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. At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique.

Requirements

• A master’s degree (or foreign equivalent) in Statistics, Data Science, Operations Research, or related field and 3 years of experience as a Data Scientist or related, building data science and optimization models using BI tools and querying data from relational databases using SQL. In the alternative, Hertz will accept a bachelor’s degree (or foreign equivalent) and 5 years of experience.
• Building data science and optimization models with business big data using: AWS, Databricks, or similar cloud platform.
• Using a scripting language to analyze large datasets and extract actionable insights.
• Developing visualization of data using Tableau, Power BI or a similar Business Intelligence tool.
• Solving analytic problems using: Python, R, SQL.

Responsibilities

• Curate data from various sources, including internal databases and external Application Program Interfaces (APIs), and aggregate data to a format appropriate for building descriptive reports, optimization or predictive modeling.
• Solve complex analytical problems using quantitative approaches applying technical, mathematical, analytical and data skills.
• Apply statistical and predictive modeling concepts, machine learning approaches, simulation, optimization models and algorithms, clustering and classification and recommendation techniques.
• Integrate, store, and analyze large, complex multi-dimensional data sets with variety of tools, including: Python, R, SQL. Communicate analytic solutions to stakeholders and implement improvements as needed to the reports and outputs, algorithms and models.
• Establish processes for largescale data analyses, model development, model validation and model implementation.
• Keep current with technical and industry developments and assess the effectiveness and accuracy of new data sources and data gathering techniques.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior