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Oura is hiring a
Senior ML Data Scientist - Women's Health

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Read by 26 job seekers.

San Francisco, United States

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 Senior 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. 

Requirements

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 with 3+ years of experience, OR a Master’s degree in related fields with 5+ years of experience.  Healthcare or health tech experience is preferred.
  • Have experience building and deploying Machine Learning models from start to finish (i.e., data wrangling/queries, data cleaning, model building & tuning, statistical evaluation of model performance).
  • Have 3+ years of solid programming skills in Python and SQL.
  • Have a strong understanding of probability and statistics.
  • Are self-driven and motivated.  For this role you should be able to work independently and be able to take a task and run with it with very minimal supervision.
  • Have strong communication skills.  You will be working with a remote cross-functional team. Strong proactive communication skills will be a must for this role. 
  • Can accommodate occasional off hour meetings with European colleagues and traveling for onsite meetings up to 3 times per year.

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own + employee discounts for friends & family
  • Fertility benefits through Carrot Pro
  • Flexible working hours and remote working arrangements
  • $750 Learning & Development credit
  • $200 monthly wellness credit
  • $108 monthly lunch credit
  • 20 days of PTO + 13 paid holidays + 8 days of flexible wellness time off
  • 5 days paid sick leave, 5 days bereavement leave, 12 weeks paid parental leave
  • Amazing culture of collaborative and passionate coworkers

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 $165,000 - $200,000
  • Region 2 $156,750 - $189,500
  • Region 3 $148,500 - $179,000

A recruiter can determine your zones/tiers based on your US location.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

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.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $120,000 - $160,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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