Soccer Data Scientist
Swish AnalyticsFull Time
Junior (1 to 2 years)
Candidates must have 6+ years of experience as a data scientist or machine learning engineer, with a proven track record of leading complex projects. Expertise in working with time-series data from multi-axis sensors, proficiency in Python and its scientific/ML libraries, and experience with deep learning frameworks like PyTorch or TensorFlow are essential. Strong SQL skills, familiarity with AWS, and experience in athletic performance technology are also required.
The Senior Data Scientist will lead the research, prototyping, and development of novel algorithms for advanced activity analysis, focusing initially on running dynamics. They will design, build, and deploy production-grade ML models, own the entire data science lifecycle from exploration to monitoring, and partner with product, engineering, and design teams to influence the product roadmap. Additionally, they will mentor other data scientists and share expertise in signal processing and machine learning.
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.