Oura
Senior ML Data Scientist - Women’s Health
$148K–$203K
Remote - United States +1 · Remote · Senior · Full-time · Posted Oct 16, 2026
- Location
- Remote - United States
Remote, United States - Experience
- 3+ years of industry experience in machine learning and data science; 5+ years of advanced programming experience.
- Education
- PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field.
About the job
Develops and commercializes machine learning models using wearable health data to create women’s health features and improve health outcomes.
What you'll do
- Build and deploy machine learning pipelines and models, with a focus on time-series analysis and validation.
- Lead model commercialization and collaborate with cross-functional teams to develop scalable health-sensing products.
- Evaluate and monitor model performance through statistical analyses, and communicate findings to inform product decisions.
What they ask for
- 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.
- Experience with machine learning and statistical modeling techniques, full-lifecycle model development and commercialization, including deep learning, time-series analysis, and signal processing.
Nice to have
- Domain knowledge in Women’s Health.
- Experience with health data from wearables.
Pay
$172,550 - $203,000 USD base salary; $158,950 - $187,000 USD base salary; $147,900 - $174,000 USD base salary
Tools
Python, SQL
AI focus
Develops and commercializes machine learning models and algorithms for women’s health features using wearable health data.
Model-written summary · the original posting is authoritative