Remote Senior Data Scientist
at Quanata

Summary

Join Quanata's exceptional team as a Data Scientist and contribute to building innovative personal auto pricing models and processing telematics data. This role reports to the Data Science Director and will be a key contributor to developing new pricing models that align with Quanata's mission to revolutionize transportation risk prediction.

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

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

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 insurance
• Dental insurance
• Vision insurance
• Life insurance and supplemental income plans for you and your dependents
• Headspace app subscription
• Monthly wellness allowance
• 401(k) Plan with a company match
• Paid Time Off: Four weeks of PTO in the first year of employment
• Fully paid parental leave for twelve weeks within one year after the birth and/or adoption of a child
• Professional learning, continuing education, and career development opportunities up to $5000 each year
• Udemy subscription
• Access to multiple different coaching opportunities through BetterUp