Staff Data Scientist, ML - Growth
QuinceFull Time
Junior (1 to 2 years)
Candidates should possess a PhD in biomedical engineering, electrical engineering, biostatistics, computer science, or a related field with 3+ years of work experience, or a Master's degree in related fields with 5+ years of work experience. Experience with biosignal or movement data, deploying on edge devices, and C/C++ programming are considered a plus. A pragmatic, delivery-focused mindset, strong Python programming skills with code collaboration tools, and experience with signal processing methods and time-series analysis are required. Good asynchronous communication skills and the ability to accommodate occasional off-hour meetings are also necessary.
The Senior Machine Learning Data Scientist will contribute to the research, development, and deployment of signal processing and machine learning algorithms for Oura features and products. Responsibilities include conducting early-stage exploratory research to identify new sensing features, developing proof-of-concept features, and collaborating with cross-functional teams to commercialize them. The role also involves designing and supporting data collection studies, documenting and presenting data analysis and algorithm performance results, and coordinating with overseas stakeholders.
Wearable health monitoring smart ring
Oura offers a smart ring that tracks various health metrics, including sleep patterns, heart rate variability, and physical activity. The ring uses advanced sensors to collect data, which is then analyzed and displayed through a mobile app, providing users with insights to improve their health and lifestyle. Unlike many competitors, Oura focuses on a direct-to-consumer model, selling its rings through its website and collaborating with sports teams and health institutions for additional partnerships. The goal of Oura is to help users, including athletes and those with health conditions, optimize their health through data-driven insights.