Data Scientist [Remote-US]

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About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

Learn more about us and our work at quanata.com   Our Team   From data scientists and actuaries to engineers, designers and marketers, we’re a world class team of tech-minded professionals from some of the best companies in Silicon Valley, and around the world.  We’ve come together to create the context-based insurance solutions and experiences of the future.  We know that the key to our success isn't just about nailing the technology—it’s hiring the talented people who will help us continue to make a quantifiable impact.

The role 

We’re looking for an accomplished and well-rounded Data Scientist to help us build innovative personal auto pricing models and process telematics data for signal processing and feature engineering. This role reports to our Data Science Director and will be a key contributor to the development of new pricing models that align with Quanata’s mission to revolutionize transportation risk prediction. You’ll work closely with a collaborative team of data scientists, using cloud-based notebooks, proprietary modeling libraries and version control systems to deliver impactful results that drive the future of risk prediction. 

Your day-to-day 

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

About you 

• 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. 

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. 

Salary: $200,000 to $300,000*

*Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.

Additional Details: 

• Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and su