Senior ML Data Scientist - Women’s Health

The role

You will develop and commercialize machine learning models and algorithms using wearable health data. You will lead complex projects, mentor junior team members, and contribute to the strategic direction of technology for Women's Health.

What you will do

• Contribute to the development and deployment of advanced machine learning pipelines and models for Women's Health features.
• Drive the commercialization of machine learning models and algorithms.
• Collaborate with scientists, product managers, software developers, product designers and test engineers.
• Design and execute rigorous statistical analyses for model performance evaluation and monitoring.
• Conduct in-depth exploratory research to identify and characterize novel health sensing features.
• Contribute to the development of best practices for machine learning within the Women's Health team.
• Present and communicate complex technical concepts to diverse audiences.

Required qualifications

• 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, time-series analysis, and signal processing.
• Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms.
• Excellent communication skills.
• Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset.

Nice to have

• Strong domain knowledge in Women's Health
• Experience with health data from wearables

Benefits

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Ōura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off
• 13 paid holidays
• 8 days of flexible wellness time off
• Paid sick leave
• Parental leave

Before you apply

• Not considering candidates residing in Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

About the company

ŌURA's products help a global community gain knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app.