Full-Time Data Scientist

• Design, build, and refine personal auto insurance pricing models, leveraging historical data to improve prediction accuracy.
• Develop and implement feature engineering pipelines for telematics data, including signal processing techniques to extract actionable insights.
• Collaborate with cross-functional teams, including actuarial, product, and data engineering teams, to integrate models and data into broader business solutions.
• Maintain and optimize cloud-based data science environments, including notebooks and version control systems.
• Analyze large datasets, both structured and unstructured, to uncover trends and support decision-making.
• Present findings and insights to non-technical stakeholders, translating complex data into actionable business strategies.
• Stay current with industry trends and emerging technologies in telematics, data science, and transportation risk modeling.

• Bachelor’s degree or equivalent relevant work experience and 8 years of relevant work experience OR Master’s degree in quantitative discipline (e.g., statistics, applied mathematics, computer science or a related field) and 6 years relevant experience
• Strong experience with Python and SQL, particularly in cloud-based environments.
• Proven ability to work independently and in teams on complex data projects, from inception to delivery.
• Obsessed with the latest developments in machine learning algorithms and data science practices.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Passion for developing high quality models and shipping frequently.

• PhD in a quantitative discipline.
• Actuarial designation or progress toward one.
• Prior experience in auto insurance, particularly in cost modeling and working with large datasets (semi-structured or unstructured).
• Hands-on experience with telematics data and signal processing.

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