Senior ML Data Scientist - Women’s Health
About The Position
Oura is seeking a highly experienced Senior Machine Learning Data Scientist to join its Women’s Health team. The role develops and commercializes machine-learning models and algorithms using wearable health data to improve women’s health outcomes. It involves leading complex projects, mentoring junior team members, and contributing to the strategic direction of Oura’s technology. The position focuses on machine-learning pipelines and models for Women’s Health features, particularly time-series analysis and robust validation. The scientist collaborates with cross-functional partners, conducts statistical evaluation and exploratory research, and helps turn proof-of-concept health-sensing ideas into scalable products. This is a remote US role, with a slight preference for candidates in San Francisco, San Diego, or Boston. Oura does not consider candidates residing in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia, or Wisconsin.
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, including deep learning, time-series analysis, and signal processing.
- Demonstrated experience developing and commercializing machine-learning models and algorithms across their full lifecycle.
- Excellent communication skills and the ability to explain complex technical concepts to technical and non-technical audiences.
- Self-driven, motivated, pragmatic, delivery-focused, and able to move quickly and prioritize effectively.
Nice To Haves
- Strong domain knowledge in Women’s Health.
- Experience working with wearable health data.
Responsibilities
- Develop and deploy advanced machine-learning pipelines and models for Women’s Health features, with a focus 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 conduct statistical analyses to evaluate and monitor model performance and generate actionable insights for strategic product decisions.
- Conduct exploratory research to identify and characterize health-sensing features and translate proof-of-concept ideas into scalable commercial products.
- Contribute to machine-learning best practices within the Women’s Health team.
- Present and communicate complex technical concepts to diverse audiences.
- Lead complex projects and mentor junior team members.
Benefits
- Competitive salary and equity packages.
- Health, dental, and vision insurance.
- Mental health resources.
- An Ōura Ring and employee discounts for friends and family.
- 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.
- Paid sick leave and parental leave.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
