Senior ML Data Scientist - Women’s Health
New
O
OuraWomen’s health
Remote - United StatesFull-TimeSenior
SalaryRegion 1: $172,550 - $203,000; Region 2: $158,950 - $187,000; Region 3: $147,900 - $174,000
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Job Details
- Experience
- 3+ years of industry experience in machine learning and data science; 5+ years of advanced programming experience in Python and SQL.
- Required Skills
- PythonSQLMachine LearningData scienceDeep Learning
Requirements
- PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field.
- At least 3 years of industry experience in machine learning and data science.
- At least 5 years of advanced programming experience in Python and SQL.
- Extensive experience with machine learning and statistical modeling techniques.
- Experience with deep learning, time-series analysis, and signal processing.
- Demonstrated experience developing and commercializing machine learning models and algorithms across their full lifecycle.
- Women’s Health domain knowledge and experience with wearable health data are preferred.
Responsibilities
- Develop and deploy machine learning pipelines and models for women’s health features, focusing on time-series analysis and robust validation.
- Drive the commercialization of machine learning models and algorithms in collaboration with scientists, product managers, software developers, product designers, and test engineers.
- Design and execute statistical analyses to evaluate and monitor model performance.
- Generate actionable insights from analyses to inform product decisions.
- Research 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 technical concepts to diverse audiences.
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