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Senior Data Scientist [Remote-US]

Quanata

$250,000 - $400,000
Nov 19, 2025
Remote, US
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Quanata is looking to solve business challenges through context-based insurance solutions by developing innovative technologies and digital products. The Senior Data Scientist will translate ambiguous business challenges into powerful, end-to-end ML solutions to create a quantifiable impact on the business.

Requirements

  • Production-grade proficiency in Python and SQL and mastery of multiple data science libraries.
  • You don't just write code; you write clean, scalable, and well-tested code, and are comfortable contributing to shared libraries.
  • A proven track record of designing robust experimental frameworks and validation strategies.
  • You know how to methodically test hypotheses and build models you can stand behind.
  • The ability to see the business problem behind the data.
  • Prior experience in auto insurance, specifically in cost modeling and working with large-scale, semi-structured or unstructured datasets.
  • Hands-on experience with telematics data collection, signal processing techniques, or IoT data pipelines.

Responsibilities

  • Drive Full-Cycle Solutions: You will spearhead high-impact modeling projects from the initial ambiguous question to the final deployed solution.
  • Engineer the MLOps Backbone: Build and own the automated systems that keep our models sharp.
  • design and implement robust pipelines for model retraining, monitoring, and alerting, creating repeatable CI/CD processes that ensure service stability and performance.
  • Act as a force multiplier for the team's talent.
  • Actively mentor junior data scientists, lead knowledge-sharing sessions (like tech talks and paper reviews), and champion best practices that raise the bar for everyone.
  • Be the voice of data for your partners.
  • Translate complex technical concepts into clear, compelling insights for non-technical audiences, making recommendations that directly influence your functional team's priorities and decisions.

Other

  • 10-12 years of work experience in data science.
  • The ability to see the business problem behind the data.
  • A Mentorship Mindset: You're a natural teacher and collaborator who enjoys elevating others.
  • You are a trusted partner who is sought out for your ability to solve problems and explain complex ideas with clarity.
  • PhD in a quantitative discipline or an actuarial designation (or progress toward one).