Data Scientist

Summary

Join Quanata, a company on a mission to improve the world through context-based insurance solutions, as a Data Scientist. You will design, build, and refine personal auto insurance pricing models, develop feature engineering pipelines for telematics data, and collaborate with cross-functional teams. This role requires strong Python and SQL skills, experience with cloud-based environments, and a passion for machine learning. The ideal candidate will have a Bachelor's degree and 8 years of experience or a Master's degree and 6 years of experience. Quanata offers a competitive salary, comprehensive benefits, and opportunities for professional development.

Requirements

• Bachelor’s degree or equivalent relevant work experience and 8 years of relevant work experience
• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Medical, dental, vision, life insurance and supplemental income plans for you and your dependents
• A Headspace app subscription
• Monthly wellness allowance
• A 401(k) Plan with a company match
• One-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion
• Our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day
• 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
• All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp