Senior ML Data Scientist, Health Sensing

Role Responsibilities:

• Contribute to the development and deployment of advanced machine learning pipelines and models for innovative illness detection 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, serving as the primary science partner for illness algorithm work.

Requirements:

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 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.

Compensation and Benefits:

• Competitive salary and equity packages with health, dental, vision insurance, and mental health resources.
• Includes an Oura Ring, 20 days PTO plus 13 paid holidays and 8 days flexible wellness time off, plus paid sick leave and parental leave.