Senior ML Data Scientist, Health Sensing

New

OuraHealth Tech, Wearables

Remote - United StatesFull-TimeSenior

SalaryRegion 1 $172,000 - $203,000; Region 2 $158,000 - $187,000; Region 3 $147,000 - $174,000

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Job Details

Experience: PhD plus 3+ years of industry experience; 5+ years of advanced programming experience.
Required Skills: PythonSQLMachine LearningDeep Learning

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.
Expertise in time-series analysis and signal processing.
Demonstrated experience in the full lifecycle of developing and commercializing ML models.
Proven ability to operate independently, define roadmaps, and unblock project progress.
Excellent communication skills for technical and non-technical stakeholders.
Domain knowledge in illness, infection, or immune response physiology is a plus.
Experience with wearable health data is a plus.

Contribute to the development and deployment of advanced machine learning pipelines and models for illness detection, focusing on time-series analysis.
Drive the commercialization of algorithms as the primary science partner for cross-functional product teams.
Design and execute rigorous statistical analyses for model performance evaluation and monitoring.
Scope and conduct exploratory research to characterize novel health sensing features.
Identify and prioritize high-impact opportunities from problem definition to shipped capability.
Monitor and optimize production algorithms using large-scale member data.
Present complex technical concepts to diverse technical and non-technical audiences.

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