Machine Learning Data Scientist - Women's Health

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

We have offices in San Francisco and San Diego for those who prefer hybrid or office settings and employee hubs, including New York City, Boston, Los Angeles, Seattle, and more.

We are looking for a Machine Learning Data Scientist to work within the Women’s Health team to develop and commercialize novel new machine learning models and algorithms.

What you will do: 

• Build and deploy machine learning pipelines and models for Women’s Health features.
• Work closely with a cross-functional team of scientists, product managers, software developers, product designers, test engineers, etc. to commercialize new features to bring value to our members.
• Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions. 
• Conduct early stage exploratory research to identify and characterize new potential health sensing features and functionality.  Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product.

This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston. 

We would love to have you on our team if you:

• Have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, OR a Master degree in related fields with 3+ years of relevant work experience, OR a Bachelor’s degree in related fields with 5+ years of relevant work experience.  Healthcare or health tech experience is preferred.
• Have 3+ years of solid programming skills in Python and SQL.
• Have experience with multiple machine learning and statistical modeling approaches.
• Have a strong understanding of probability and statistics.
• Have experience developing and validating time-series algorithms.
• Are self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
• Possess excellent communication skills and can summarize and clearly articulate your work and thinking process to both technical and non-technical team members.
• Are comfortable working with a diverse and talented group of team members residing throughout the globe, and can accommodate weekly off hour meetings with European colleagues and traveling for onsite meetings up to 3 times per year.