Senior Data Scientist [Remote-US]

Quanata; United States; Remote; USD 250,000 - 400,000; Full time

Job summary

A leading technology company is seeking a Data Scientist with a robust engineering mindset to develop innovative risk models and data pipelines. This remote role requires substantial experience in data science, excellent programming skills, and a passion for building scalable solutions. Candidates will play a pivotal role in transforming transportation risk prediction into a data-driven process, working alongside talented teams in a collaborative environment.

Benefits

Health, dental, and vision insurance

401(k) Plan with company match

Paid Time Off: four weeks PTO

$2K one-time payment for home office equipment

Professional development budget of $5000 per year

Qualifications

• 12 years of experience in data science and/or data engineering.
• Strong technical proficiency in Python and SQL, especially in cloud environments.
• Familiarity with software engineering best practices.

Responsibilities

• Lead design and maintenance of personal auto insurance risk models.
• Manage project lifecycle from requirements gathering to monitoring.
• Collaborate with cross-functional teams to improve data-driven solutions.

Skills

Python

SQL

Machine Learning

Data Science Methodologies

Education

Bachelor’s or Master’s degree in a quantitative field

Job description

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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 a Data Scientist with a strong engineering and operations mindset to help us build scalable, innovative personal auto risk and telematics models. In this role, you’ll go beyond modeling: you’ll architect robust pipelines, develop libraries used by multiple teams, and champion best practices for version control, testing, and deployment. Reporting to our Data Science Director, you’ll be instrumental in developing new risk models that align with Quanata’s mission to revolutionize transportation risk prediction. Your experience in software engineering and/or data engineering will be crucial as you work alongside a collaborative, cloud-based data science team.

Your day-to-day

Architect & Develop: 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.Technical Leadership: 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.

Cross-Functional Collaboration: Partner with actuarial, product, and engineering teams to translate complex models and analytical tools into scalable, real-world applications that add measurable business value.

End-to-End Ownership: 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.

Stakeholder Communication: Present analytical findings and operational roadmaps to senior leadership. Demonstrate how sound engineering practices and data-driven insights can inform strategic business decisions.

Infrastructure & Tooling: Lead efforts to optimize and automate cloud-based data science environments, establishing guidelines for resource utilization, environment provisioning, and production deployments.

Innovation & Continuous Improvement: 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.

About you

• Educational Background: Bachelor’s or Master’s degree (or equivalent professional experience) in a quantitative field, Computer Science, or related discipline.


• Relevant Experience: 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.


• Technical Proficiency: 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.


• Independent & Collaborative: Able to drive projects independently from start to finish, yet comfortable working with diverse teams to integrate solutions across the organization.


• Modeling & Analytics: Deep knowledge of machine learning algorithms and data science methodologies, with an ability to deploy models in a production setting.


• Communication: Adept at translating technical concepts into clear, concise messages for non-technical stakeholders and senior leadership.


• Passion for Quality & Speed: You thrive on shipping high-quality models, tools, and features frequently, maintaining a culture of agility and reliability.

Bonus points

• Advanced Credentials: PhD in a quantitative discipline or an actuarial designation (or progress toward one).


• Industry Experience: Prior experience in auto insurance, specifically in cost modeling and working with large-scale, semi-structured or unstructured datasets.


• Telematics Know-How: Hands-on experience with telematics data collection, signal processing techniques, or IoT data pipelines.


• Open-Source Contributions: Demonstrated track record of contributing to open-source projects or maintaining widely used analytical libraries.

Salary: $250,000 to $400,000*

*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 supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.


• Work from Home Equipment : Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.


• Paid Time Off: 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.


• Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally. 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.


• Location : We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions,occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee.Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.


• Hours : We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all 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 for employment qualified applicants with arrest and conviction records.

If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice.https://www.sf.gov/sites/https://www.sf.gov/sites/default/files/2022-12/FCO%20poster2020_0.pdf

This role is employed by Quanata, LLC which is 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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