Senior ML Data Scientist - Women’s Health

Ōura; United States; A distancia; USD 148.000 - 203.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Equity package

Employee discounts

Descripción de la vacante

Ōura seeks a senior machine learning data scientist to lead development and commercialization of ML models using wearable health data, with a focus on women’s health features and time‑series validation. This remote US role prefers candidates based in San Francisco, San Diego, or Boston.

The role requires a PhD and 3+ years in ML, plus 5+ years Python/SQL programming and expertise in deep learning, time‑series analysis, and signal processing.

Formación

• PhD required or equivalent doctorate in a related field.
• 3+ years of industry experience in machine learning and data science.
• Strong programming skills in Python and SQL.
• Experience with a range of ML and statistical modelling techniques including deep learning, time‑series analysis, and signal processing.
• Ability to develop and commercialize ML models end‑to‑end and communicate complex concepts clearly.

Responsabilidades

• Contribute to development and deployment of advanced ML pipelines and models for Women’s Health features, focusing on time‑series analysis and robust validation.
• Drive commercialization of ML models in collaboration with scientists, product managers, software developers, designers and test engineers.
• Design and execute rigorous statistical analyses for model performance evaluation and actionable insights.
• Conduct exploratory research to identify novel health sensing features and translate proofs‑of‑concept into scalable products.
• Develop best practices for ML within the Women’s Health team.
• Present and communicate complex technical concepts to diverse audiences.

Conocimientos

Python

SQL

Machine Learning

Time-series analysis

Deep learning

Signal processing

Communication

Project execution

Educación

PhD in Biomedical Engineering / Electrical Engineering / Biostatistics / Computer Science

Herramientas

Python

SQL

Descripción del empleo

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.

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. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.

What You Will Do

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

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

What you’ll bring

• 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.
• 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.
• Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non‑technical audiences.
• Self‑driven, motivated, have a pragmatic can‑do attitude and delivery‑focused mindset: you can move quickly and prioritize effectively.

Nice to have

• Strong domain knowledge in Women’s Health and experience with health data from wearables are significant plusses.

Benefits

At Ōura, we care about you and your well‑being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• 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 plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Ōura 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: $172,550 - $203,000
Region 2: $158,950 - $187,000
Region 3: $147,900 - $174,000

A recruiter can determine your Region based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (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.