Data Science Analytics Professional
1 month ago
Data Science and Analytics Role
The Hertz Corporation is seeking a highly skilled Data Science Analytics Engineer to join its team. As a Data Science Analyst, you will work closely with management, analytics, and the data science team to develop applications, tools, and models that extract insights from Hertz's rich data history.
Key Responsibilities:
- Develop and maintain data science programs to improve departmental performance and revenue growth.
- Design and manage new data tables for data collection, integration, visualization, and analytics.
- Leverage data science tools to analyze large datasets and develop custom models and algorithms.
- Create data science platforms to test new techniques and approaches.
- Design and architect data processing pipelines for the department.
- Lead the development of new insights, advanced modeling techniques, and data science capabilities.
- Mentor data scientists and analysts in best practices for data preparation, analysis, coding, and modeling.
Requirements:
- Degree in a quantitative field with a focus on predictive modeling, including Statistics, Data Science, Operations Research, or related fields.
- Design and architecture experience in relational databases and distributed data systems.
- Strong experience in finding patterns in data, creating statistical models, and data exploration, visualization, and mining.
- Proficiency in languages such as SQL, Python, and fluency in languages like SQL (T-SQL, Spark SQL), and experience in PySpark.
- Strong problem-solving and critical thinking skills with a proven record of identifying and diagnosing problems.
What You'll Achieve:
- Design and build high-performance data pipeline solutions for Analytics and Data Science.
- Develop new insights, advanced modeling techniques, and data science capabilities.
- Prioritize business needs and deliver high-quality results under tight deadlines.
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