Senior Machine Learning Scientist

Position Overview

At Geico Auto Insurance, we are looking for a highly motivated and experienced Senior Machine Learning Scientist to join our team and help revolutionize the way we deliver the best insurance experience. This is an excellent opportunity for a self-motivated individual with deep knowledge of machine learning, statistical analysis, and predictive analytics to develop data-driven products and services. The ideal candidate is a creative problem solver with a passion for data-driven solutions and a strong grasp of the machine learning process. We require at least 5 years of experience in the field and a degree in Computer Science, Engineering, Statistics, Math, or a related field. Expertise with popular frameworks such as TensorFlow, PyTorch, and Scikit-Learn is essential, while experience with big data systems like Hadoop, Apache Spark, or NoSQL databases is strongly preferred.

Geico Auto Insurance is an Equal Opportunity Employer that celebrates diversity and is committed to creating an inclusive environment for all employees.

Key Responsibilities

• Develop advanced machine learning algorithms to predict customer behavior and enhance insurance experiences.
• Research, develop, and implement machine learning and artificial intelligence technologies.
• Design, develop, and maintain machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn.
• Work with big data systems such as Hadoop, Apache Spark, or NoSQL databases.
• Monitor and evaluate models to ensure accuracy and optimal performance.
• Collaborate with cross-functional teams to develop data-driven products and services.
• Stay updated on the latest trends in the machine learning field.
• Create technical documentation and reports.
• Support the team in the testing and deployment of machine learning solutions.
• Work with stakeholders to ensure that solutions meet customer needs.

Required Qualifications

• Minimum of 5 years of experience in machine learning research, development, and implementation.
• Bachelor’s or higher degree in Computer Science, Engineering, Statistics, Math, or a related field.
• Proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

Preferred Qualifications

• Experience with big data systems such as Hadoop, Apache Spark, or NoSQL databases.
• Proven track record in the research, development, and deployment of advanced machine learning solutions.