Machine Learning Data Scientist - Remote

Overview

The Machine Learning Data Scientist at Oura will analyze large-scale research and clinical datasets to develop and validate deep learning models for wearable sensor data, contributing to health outcomes and scientific understanding through wearable data.

In Short

• Analyze research and clinical datasets for algorithm performance and health insights.
• Collaborate with cross-functional teams to translate research into production features.
• Drive scientific publications and validation studies.
• Prototype and implement deep learning models for physiological data.
• Build and optimize data generation and evaluation pipelines.

Requirements

• PhD or MSc with 3+ years in biomedical engineering, machine learning, or related field.
• Experience in healthcare or health technology preferred.
• Hands-on experience with deep learning models for time-series data.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Solid foundation in statistics and experimental design.
• Excellent scientific writing skills with peer-reviewed publications.
• Collaborative mindset and ability to work autonomously.
• Flexibility for meetings across time zones and occasional travel.

Benefits

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