Senior Data Scientist

Oura Oura · Consumer · Finland · Science

Senior Data Scientist at Oura, focusing on advancing physiological feature pipelines using wearable health data. The role involves transforming multi-sensor data into actionable health metrics, developing reusable data analytics tools, and contributing to strategic roadmaps. Requires expertise in Python, deep learning, multimodal data fusion for sequential data, forecasting, optimization, and deploying data science products on AWS using PyTorch.

What you'd actually do

  1. Contribute to development of new human physiology based features and new sensor technology
  2. Transform multi-sensor data into actionable health metrics by combining insights from diverse biosensing technologies with state-of-the-art data science methodologies
  3. Develop reusable data analytics tools, which can be deployed at scale
  4. Actively participate in developing and refining the team’s strategic roadmap, innovating and prioritising initiatives, and aligning project goals with broader organisational objectives
  5. Lead data collections, write scientific reports, publications and white papers, and present findings internally (leadership and stakeholders) and externally (conferences, etc.)

Skills

Required

  • 6+ years of experience in Data Science with sparse real world data
  • Python
  • deep learning
  • multimodal data fusion for sequential data
  • forecasting models
  • optimization models
  • statistical analysis
  • running simulations
  • AWS tools
  • SQL
  • GitHub
  • Pytorch
  • project management experience
  • Excellent written and verbal communication skills
  • proactive mindset
  • resilience and creativity to navigate ambiguity

Nice to have

  • wearable data with excellent physiological understanding
  • Masters/Doctorate degree in a STEM-related field
  • working with a diverse, distributed and talented group of team members

What the JD emphasized

  • sparse real world data
  • multimodal data fusion for sequential data
  • unconventional problem spaces
  • uncharted territory

Other signals

  • develop reusable data analytics tools
  • transform multi-sensor data into actionable health metrics
  • develop new human physiology based features