Data Scientist, Activity

Remote - New York City, United States

Applications have closed

Oura Health Ltd

Oura Ring: the most accurate sleep and activity tracker is all about you: it measures the physiological signals of your body, understands your lifestyle, and guides you to make your own optimal daily choices. The ring features scientifically...

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Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and movement using the Oura Ring and connected app. By providing daily feedback and practical steps to achieve a healthy lifestyle, we've helped over one million people improve their sleep, understand their bodies, and transform their health. We want to empower every person to own their inner potential.

We are looking for a Senior Data Scientist to join our Movement squad. At Oura we believe that when it comes to healthy living, every movement counts. The movement squad develops features related to exercise and activity for everyone from busy parents to elite athletes, including measurement of heart rate during workouts and detection and classification of different types of activity. As the data scientist on this squad, you will investigate biometric signals collected during movement, work with product managers, designers and engineers to develop and iterate on movement features, and develop algorithms and ML models to enable those features. You should be comfortable with both exploratory data science/statistics and with contributing ML code to our production codebase. Our vision is to create a fully personalized, seamless solution for tracking and guiding users’ movement , and you will have ownership of the technical direction we take in executing this vision.

Requirements

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

  • Have either your PhD and 4+ years of work experience as a data scientist or machine learning engineer including developing models for deployment to product or 8+ years experience without your degree
  • Have worked with time-series data from a multi-axis accelerometer, gyroscope, or similar MEMS sensors
  • Have 2+ years experience with Python at an advanced level, including scipy/numpy
  • Are competent in SQL and data wrangling, and comfortable contributing to the data pipelines supporting the features you develop
  • Preferably, have worked on embedded system firmware or worked closely with a firmware engineering team
  • Familiarity with AWS or Pytorch a plus
  • Experience working in the consumer wearables space a huge plus

Benefits

  • Competitive salary, equity, and benefits package
  • Health, dental, and vision insurance
  • $300 per month health and wellness stipend
  • Wellness benefits
  • Remote WeWork offices and WFH
  • Flexible working hours
  • 20 days of PTO
  • An Oura Ring of your own
  • Amazing culture of collaborative and passionate coworkers

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 regards 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, socioeconomic status, 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Classification Data pipelines Engineering Machine Learning ML models NumPy PhD Pipelines Python PyTorch SciPy SQL Statistics

Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Startup environment Team events Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  21  5  0
Category: Data Science Jobs

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