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The Senior ML Data Scientist will develop and commercialize machine learning models for illness detection using wearable health data. This role involves end-to-end project ownership, from exploratory research to production deployment, using Python, SQL, and advanced statistical techniques.
Senior HRIS Analyst responsible for configuring, testing, and deploying Workday HCM business processes, maintaining security and data governance, building reports and dashboards, and supporting integrations in a global, fast-growing health-tech company.
Senior Android Engineer on the Health Intelligence team building AI-powered health insight features for the Oura Ring app using Kotlin and Jetpack Compose, plus shared platform foundations and design-system components.
Supports human subjects research studies for Oura's hardware R&D in San Francisco — handling day-to-day study operations like scheduling, equipment setup, participant flow, and data collection from prototype sensors. Works with wearable/physiological data, IRB processes, and cross-functional research teams in a hybrid role (3+ days onsite).
Senior QA engineer who plans, builds, and executes manual and automated end-to-end tests for the Oura Ring ecosystem — mobile apps (iOS/Android), cloud services, and data/algorithm flows — using Python, Pytest, Appium, and CI/CD pipelines. Also owns test strategy, mentors junior testers, and debugs complex issues with cross-functional teams in the US and Finland.
Hardware Reliability Engineer at Oura responsible for planning and executing hardware reliability work for wearable products, including testing, failure analysis, and ensuring devices are durable and dependable.
Develops and executes hardware signal quality tests for Oura’s wearable sensors, analyzing data to improve product performance and collaborating with engineering teams.
Build AI-driven marketing models and decision systems to optimize spend, channel mix, and revenue impact for Oura’s health-focused ecommerce and retail channels.
Lead cross-functional teams to mature emerging hardware technologies for Oura’s wearable health products, ensuring readiness for mass production and transfer into NPI programs.
Build and refine statistical and ML-based demand forecasts for Oura’s wearable devices, integrating sales, inventory, and supply-chain data to improve planning accuracy and scalability.
Build NLP/LLM models and forecasting systems to improve member support quality, staffing, and retention at a digital health company using Oura Ring data.
Define custom silicon architectures for next-gen Oura wearable health products, balancing power, size, cost, and performance while collaborating with internal teams and semiconductor vendors.
Builds and maintains data pipelines, databases, and dashboards to support health research using Python, SQL, AWS, and Databricks.
Leads MLOps platform design and ML workflows for Oura’s health-tech products, focusing on scalable ML deployment, governance, and tooling (e.g., MLflow) to support data science teams across domains like sleep/activity tracking.
Lead end-to-end UX research for Oura’s personalized health insights, blending qualitative studies and rapid A/B experiments to shape AI-driven recommendations and build member trust.
Builds, optimizes, and reports on Google Ads and YouTube campaigns to drive efficient customer acquisition for a health-focused wearable brand.
Runs and optimizes paid social ad campaigns on Meta, TikTok, and other platforms to drive customer acquisition for a health-focused wearable company.
Senior Business Systems Analyst designs and maintains NetSuite ERP integrations for Oura’s supply chain, including 3PL, carrier, and reverse-logistics partners, to enable real-time visibility and scalable operations.
Maintains and improves Oura’s application and capability inventory using LeanIX, partners with business owners to track app ownership and lifecycle, and builds reports to support enterprise architecture decisions.
Own and evolve Oura’s Pigment EPM platform, building financial and supply-chain planning models, integrating data from NetSuite and Databricks, and enabling FP&A and Supply Chain teams with self-service analytics.
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