ironquill.tech/board

$ cat jobs/senior-data-scientist-member-experience-oura-health-ltd-4e532c7d5d20.json

Senior Data Scientist - Member Experience

oura health ltd·US·United States·senior
llmnlpdata science
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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for an experienced Senior Data Scientist to partner with our Member Experience (MX) organization to build the systems, analytics, and models that improve how members get support across their Oura journey. This role sits within Data Science and works deeply across MX analytics, quality, business systems, and operations to translate member support data into better decisions, better tooling, and better member outcomes. Your work will help Oura measure and improve support quality at scale, evolve how we forecast demand and staffing needs, and connect support interactions to broader member lifecycle outcomes such as satisfaction, retention, and churn. This is a full-stack data science role that requires strong data foundations, pragmatic model development, and the ability to turn technical outputs into operational and strategic action. What You Will Do Build and maintain a quality scoring classifier for support interactions using modern NLP and LLM-based approaches, including evaluation, versioning, and recurring accuracy review processes. Design and develop new support performance metrics and analytics that go beyond traditional volume and satisfaction reporting, such as member effort and case complexity, to better understand where the member experience breaks down and why. Enhance our forecasting m

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