Senior ML Data Scientist – Women’s Health

🕒 October 16

🇺🇸 United States – Remote

💵 $147.9k - $203k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 4%

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ŌURA

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

Healthcare • Manufacturing • Consulting

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

• Develop and deploy advanced machine learning pipelines and models for Women's Health features, focusing on time-series analysis and robust validation • Drive commercialization of machine learning models and algorithms with scientists, product managers, software developers, product designers, and test engineers • Design and execute statistical analyses for model performance evaluation and monitoring • Generate actionable insights to inform strategic product decisions • Conduct exploratory research to identify and characterize novel health sensing features • Translate proof-of-concept ideas into scalable, commercialized products • Contribute to machine learning best practices within the Women's Health team • Present and communicate complex technical concepts to diverse audiences • Lead complex projects, mentor junior team members, and contribute to technology strategy

🎯 Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field • 3+ years of industry experience in machine learning and data science • 5+ years of advanced programming experience in Python and SQL • Extensive experience with 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 ability to articulate complex technical concepts to technical and non-technical audiences • 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 Ōura 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

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