Senior Data Scientist Remote

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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

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.

We're looking for a Senior Data Scientist to be the strategic anchor for a functional team. You won't just be building models; you'll be a key influencer who translates ambiguous business challenges into powerful, end-to-end ML solutions. Your mission is to take ownership of the data science lifecycle, delivering automated and augmented decisions that create a quantifiable impact on the business.

• Drive Full-Cycle Solutions:
  You will spearhead high-impact modeling projects from the initial ambiguous question to the final deployed solution. This includes framing the business problem, designing rigorous experiments, and selecting evaluation criteria that directly connect to business value.
• Engineer the MLOps Backbone:
  Build and own the automated systems that keep our models sharp. You'll design and implement robust pipelines for model retraining, monitoring, and alerting, creating repeatable CI/CD processes that ensure service stability and performance.
• Elevate the Team:
  Act as a force multiplier for the team's talent. You'll 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.
• Influence Business Strategy:
  Be the voice of data for your partners. You will translate complex technical concepts into clear, compelling insights for non-technical audiences, making recommendations that directly influence your functional team's priorities and decisions.

• Experience: 10-12 years of work experience in data science.
• Technical Mastery: 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.
• Scientific Rigor: 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.
• Business Acumen: The ability to see the business problem behind the data. You excel at turning vague challenges into well-defined data science projects with clear success metrics.
• 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.
• Advanced Credentials: PhD in a quantitative discipline or an actuarial designation (or progress toward one).
• Open-Source Contributions: Demonstrated track record of contributing to open-source projects or maintaining widely used analytical libraries.

* 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  aim is to offer a competitive and equitable compensation package that…