Senior ML Data Scientist – Women’s Health

🕒 April 6

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $172k - $203k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🧘 Wellness

Wellness • Wearables • Health

ŌURA is a company that produces smart rings designed to provide in-depth health metrics and insights. The Oura Ring tracks a variety of health-related data such as sleep patterns, heart rate, activity levels, and stress. It aims to help users live healthier and more productive lives through accurate biometrics tracked via a comfortable ring worn all day and night. With features that benefit women's health, heart health, and overall wellness, ŌURA rings are marketed as both technologically advanced and user-friendly devices for personal health monitoring.

📋 Description

• Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation. • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers. • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions. • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products. • Contribute to the development of best practices for machine learning within the Women's Health team. • Present and communicate complex technical concepts to diverse audiences.

🎯 Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science. • 5+ years of advanced programming experience in Python and SQL. • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing. • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms. • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences. • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively. • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.

🏖️ Benefits

• Competitive salary and equity packages • Health, dental, vision insurance, and mental health resources • An Oura Ring of your own plus employee discounts for friends & family • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off • Paid sick leave and parental leave