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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 responsibilities include:
- Lead the design and development of advanced personal auto insurance pricing models, utilizing historical data, telematics, and cutting-edge techniques to enhance prediction accuracy and business outcomes.
- Drive the feature engineering process for telematics data, applying advanced signal processing methods for deeper insights and improved model performance.
- Mentor and guide junior data scientists, providing technical leadership to 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, ensuring seamless integration with the business from scoping and development through deployment.
- Present 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 resource use and best practices for version control and reproducibility.
- Stay at the forefront of industry trends, continuously incorporating innovative techniques and emerging technologies to maintain our competitive edge.
About You
We require:
- Bachelor’s degree or Master’s degree, or relevant work experience, with 12 years of relevant work experience.
- Strong experience with Python and SQL, particularly in cloud-based environments.
- Proven ability to independently manage and collaborate on complex data projects from inception to delivery.
- An obsession with the latest developments in machine learning algorithms and data science practices.
- Excellent communication skills for explaining technical concepts to non-technical stakeholders.
- A 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, especially in cost modeling with large datasets (semi-structured or unstructured).
- Hands-on experience with telematics data and signal processing.
- Contributions to an open-source project.
Salary: $250,000 - $450,000. Please note 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 goal is to provide a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.
Additional Details
- Benefits: We offer a wide variety of health, wellness, and other benefits, including medical, dental, vision, life insurance, and supplemental income plans, a Headspace app subscription, a monthly wellness allowance, and a 401(k) Plan with a company match.
- Work from Home Equipment: Given our virtual environment, a one-time payment of $2K will be provided for in-home office equipment and furniture. Teams work with MacBook Pros, delivered fully provisioned before your first day.
- Paid Time Off: All employees accrue four weeks of PTO in their first year, with new parents receiving twelve weeks of fully paid parental leave to be taken within one year after the birth or adoption of a child.
- Personal and Professional Development: We invest in our employees’ growth; all receive up to $5000 each year for professional learning, continuing education, and career development, along with Udemy subscriptions and access to coaching opportunities through BetterUp.
- Location: We are a remote-first company; employees may work from anywhere in the U.S., excluding U.S. territories. Occasional travel may be required for team meetings or company gatherings. Employees in the San Francisco Bay Area or Providence, Rhode Island, may commute to local offices if desired.
- Hours: Core meeting hours are from 9 AM - 3 PM Pacific time for collaborating across time zones.
Quanata, LLC, is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice at https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf. This role is employed by Quanata, LLC, a separate company in the State Farm family of companies.
If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.