Applyđź“Ť United States
🧠Full-Time
đź’¸ $250,000 - $450,000 per year
🔍 Insurance
- Bachelor’s degree or Master’s degree or relevant work experience
- 12 years of relevant work 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.
- Bonus points: 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, contribute to an open-source project.
- Lead the design and development of advanced personal auto insurance pricing models, using a mix of historical data, telematics, and cutting-edge techniques to improve prediction accuracy and business outcomes.
- Drive the feature engineering process for telematics data, incorporating advanced signal processing methods to extract deeper insights and improve model performance.
- Mentor and guide junior data scientists, offering technical leadership and expertise to help elevate the entire team’s capabilities.
- Collaborate closely with cross-functional teams, including actuarial, product, and engineering, to translate complex models into scalable, real-world applications.
- Own the end-to-end lifecycle of data science projects, from scoping and development through deployment, ensuring seamless integration with the business.
- Present and advocate for data-driven strategies to senior leadership and non-technical stakeholders, aligning technical insights with strategic business goals.
- Lead efforts to optimize cloud-based data science environments, ensuring efficient use of resources and fostering best practices for version control and reproducibility.
- Stay at the forefront of industry trends, continuously bringing innovative techniques and emerging technologies into the organization to maintain our competitive edge.
LeadershipPythonSQLMachine LearningAlgorithmsData scienceCommunication Skills
Posted 3 months ago
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