Data Scientist, HW & Signal Quality

Helsinki, Uusimaa, Finland

Full Time Mid-level / Intermediate
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Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app. By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped hundreds of thousands of people improve their sleep, understand their bodies, and transform their health. We’re on a mission to empower every person to own their inner potential, and we’re seeking candidates who want to make an impact on our journey.

We are looking for a Data Scientist to work on Hardware and Signal Quality Analysis. As part of a cross-functional team you will take on detective work exploring signals generated by our hardware, in order to identify possible problems and their causes. You will work together with our hardware and firmware teams to improve product performance, and with our engineers to develop tools for use by our scientists and customer service agents. Projects could include measuring and predicting battery discharge anomalies, modeling the situations under which connectivity problems are more likely to arise, and building models to predict the quality of sensor signals under different usage contexts.

Most of your output will be in the form of reports and presentations to stakeholders in Hardware, Firmware, Science, and Customer Service. You will work with them to understand the questions they need to ask the data and develop analyses to answer them, as well as providing guidance on data collection improvements. Your work will reach decision makers across the company and influence the products we ship.

Requirements

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

  • Are excited about bringing better sleep and wellness to hundreds of thousands of people worldwide
  • Have mastered a wide range of statistical techniques, and developed an intuition for what tool to apply in every situation
  • Are adept at creating visualizations that make complex results understandable at a glance
  • Are experienced in SQL and data wrangling
  • Thrive in a fast-paced, sometimes unpredictable, and highly collaborative work environment
  • Have experience in signal processing or time series analysis
  • Have advanced skills in Python, including scipy/numpy
  • Familiarity with any of the following a plus: AWS, parallel processing


If this sounds like the opportunity for you, please send us your application as soon as possible but by November 21st the latest.

Benefits

  • Competitive Salary
  • Lunch benefit
  • Wellness benefit
  • Flexible working hours + work-life balance
  • Collaborative, brilliant teammates
  • An Oura Ring of your own
  • Latest equipment of choice
Job tags: AWS NumPy Python SciPy SQL
Job region(s): Europe
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