Senior ML Data Scientist - Women’s Health

United StatesHybrid

Responsibilities

Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers.
Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
Present and communicate complex technical concepts to diverse audiences.

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 are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team.
You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes.
Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.
Contribute to the development of best practices for machine learning within the Women's Health team.
PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry
experience in machine learning and data science.
experience with a wide range of 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, and the ability to articulate complex technical concepts to both technical and non-technical audiences.
Strong domain knowledge in Women's Health and
experience with health data from wearables are significant plusses. Benefits

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions.
Region 1 $172,000 - $203,000
Region 2 $158,000 - $187,000
Region 3 $147,000 - $174,000
Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by

Our mission at Oura is to empower every person to own their inner potential.
We've helped millions of 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.
This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston.
We have offices in San Francisco and San Diego for those who prefer hybrid or office settings.
Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.
You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology..
This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements
Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.