Senior Data Scientist [Remote-US]

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Requirements:

• 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.

Responsibilities:

• 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.