Senior Data Scientist

Summary

Join Quanata, a leading context-based insurance solutions company, as a Data Scientist. You will architect and develop advanced personal auto insurance risk models and data pipelines, mentor fellow data scientists, and collaborate with cross-functional teams. This role requires strong Python and SQL skills, experience in building complex data pipelines, and a deep understanding of machine learning algorithms. You will manage the full project lifecycle, present findings to senior leadership, and champion best practices. Quanata offers a competitive salary, comprehensive benefits, and opportunities for professional development.

Requirements

• Bachelor’s or Master’s degree (or equivalent professional experience) in a quantitative field, Computer Science, or related discipline
• 12 years of combined experience in data science and/or data engineering, with a track record of building and maintaining complex data pipelines or libraries
• Strong Python and SQL skills, especially in cloud-based environments (AWS, Azure, GCP)
• Familiarity with software engineering best practices (version control, code reviews, CI/CD, containerization) is critical
• Able to drive projects independently from start to finish, yet comfortable working with diverse teams to integrate solutions across the organization
• Deep knowledge of machine learning algorithms and data science methodologies, with an ability to deploy models in a production setting
• Adept at translating technical concepts into clear, concise messages for non-technical stakeholders and senior leadership
• You thrive on shipping high-quality models, tools, and features frequently, maintaining a culture of agility and reliability

Responsibilities

• Lead the design, development, and maintenance of advanced personal auto insurance risk models and foundational data pipelines
• Create modular, reusable components and libraries that enhance the efficiency and scalability of our modeling process
• Mentor fellow data scientists and data engineers by encouraging best practices for code structure, version control, CI/CD, testing, and reproducibility
• Review pull requests and champion code quality across the data team
• Partner with actuarial, product, and engineering teams to translate complex models and analytical tools into scalable, real-world applications that add measurable business value
• Manage the full project lifecycle—from requirements gathering and architecture to deployment and monitoring—ensuring solutions are robust and optimized for performance in cloud-based environments
• Present analytical findings and operational roadmaps to senior leadership
• Demonstrate how sound engineering practices and data-driven insights can inform strategic business decisions
• Lead efforts to optimize and automate cloud-based data science environments, establishing guidelines for resource utilization, environment provisioning, and production deployments
• Stay current with emerging technologies in data engineering, MLOps, and machine learning
• Continuously evaluate and integrate new techniques to keep Quanata at the cutting edge of risk prediction

Preferred Qualifications

• PhD in a quantitative discipline or an actuarial designation (or progress toward one)
• Prior experience in auto insurance, specifically in cost modeling and working with large-scale, semi-structured or unstructured datasets
• Hands-on experience with telematics data collection, signal processing techniques, or IoT data pipelines
• Demonstrated track record of contributing to open-source projects or maintaining widely used analytical libraries

Benefits

• Medical, dental, vision, life insurance and supplemental income plans for you and your dependents
• Headspace app subscription
• Monthly wellness allowance
• 401(k) Plan with a company match
• One-time payment of $2K to cover the purchase of in-home office equipment and furniture
• MacBook Pros
• All employees accrue four weeks of PTO in their first year of employment
• New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent
• All employees receive up to $5000 each year for professional learning, continuing education and career development
• LinkedIn Learning subscriptions
• Access to multiple different coaching opportunities through BetterUp
• Remote work