Senior ML Data Scientist, Health Sensing

Far Coder; Northern (KY); Hybrid; USD 158,000 - 203,000; Full time

Benefits offered by this job

Oura Ring

Health insurance

Paid time off & holidays

Equity opportunities

Job summary

Oura is hiring a remote Senior ML Data Scientist, Health Sensing, to lead end-to-end ML model development using wearable health data. You will work across product and engineering to deliver illness detection features and performance improvements for members.

The role requires a PhD with 3+ years in ML/data science, 5+ years Python/SQL, and expertise in deep learning and time-series. Remote US role with potential hybrid options in offices and a strong emphasis on collaboration and independent

Qualifications

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or related field.
• 3+ years of industry experience in machine learning and data science.
• 5+ years of advanced programming in Python and SQL.
• Extensive experience with ML and statistical modeling techniques, including deep learning and time-series analysis.
• Ability to work independently and own projects end to end.

Responsibilities

• Contribute to development and deployment of advanced ML pipelines and models for illness detection, focusing on time-series analysis and robust validation.
• Drive commercialization of ML models, collaborating with cross-functional teams as the primary science partner for illness algorithm work.
• Design and execute rigorous statistical analyses for model performance, monitoring, and actionable insights.
• Independently scope and conduct exploratory research to identify novel health sensing features and translate ideas into scalable products.
• Identify high-impact opportunities and drive them from open questions to shipped capabilities with limited direction.
• Monitor and improve performance of production algorithms using large-scale member data.
• Present complex technical concepts to diverse audiences.

Skills

Machine learning

Data science

Python

SQL

Time-series analysis

Deep learning

Communication

Experiment design

Model deployment

Education

PhD in Biomedical Engineering / Electrical Engineering / Biostatistics / CS

Tools

SQL

Python

Rust

Excel

Job description

Ōura is hiring a remote candidate for Senior ML Data Scientist, Health Sensing. This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Python, Rust, Data Science, Deep Learning, Excel.

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 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. Our mission at Oura is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within - by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day.

This is a remote US role with a preference for candidates based in SanFrancisco, SanDiego, or Boston. We have offices in SanFrancisco and SanDiego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and NewYork) occasionally gather informally at local co‑working locations.

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our health sensing team. You will play a pivotal role in developing and commercializing cutting‑edge machine learning models and algorithms, leveraging wearable health data to help members detect and understand illness. This role carries a high degree of independence—you will own projects end to end, set your own technical direction, and partner directly with product and engineering to bring your work to members.

What you will do:

• Contribute to the development and deployment of advanced machine learning pipelines and models for innovative illness detection features, focusing on time‑series analysis and robust validation.
• 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, serving as the primary science partner for illness algorithm work.
• Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
• Independently scope and conduct in‑depth exploratory research to identify and characterize novel health sensing features, translating proof‑of‑concept ideas into scalable, commercialized products.
• Identify and prioritize the highest‑impact opportunities in a broad problem space, and drive them from open question to shipped capability with limited direction.
• Monitor and improve the performance of algorithms already running in production at scale, using large‑scale member data to guide where to invest next.
• Present and communicate complex technical concepts to diverse audiences.

Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science.
• 5+ years of advanced programming experience in Python and SQL.
• Extensive 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.
• Proven ability to operate independently: comfortable being the sole scientist on a project, defining your own roadmap, and unblocking yourself without waiting for direction.
• You move quickly and prioritize effectively.
• Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non‑technical audiences.
• Domain knowledge in illness, infection, or immune response physiology, and experience with health data from wearables are significant pluses.

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
• Oura takes a market‑based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. 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. These ranges may be modified in the future.
• Region 1 $172,000 - $203,000
• Region 2 $158,000 - $187,000
• Region 3 $147,000 - $174,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), Rhode Island (RI), South Dakota (SD), Vermont (VT), WestVirginia (WV), and Wisconsin (WI).

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Skills required for this role include SQL, Python, Rust, and related tools for day‑to‑day development.

Seniority level: Senior.