Junior Data Scientist

Finland·HelsinkiHybridentry

Data ScientistData

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Quick Summary

Key Responsibilities

Support the development of new human physiology-based features and sensor technology. Assist in transforming multi-sensor data into actionable health metrics.

Technical Tools

Data ScientistData

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 Junior Data Scientist to support our Product Science team in advancing our physiological feature pipeline. This role is ideal for a passionate, early-career data scientist who is eager to apply their technical skills to real-world health and wearable data, learn from industry experts, and contribute to meaningful health-tech solutions.

Responsibilities

~1 min read

→Support the development of new human physiology-based features and sensor technology.
→Assist in transforming multi-sensor data into actionable health metrics.
→Contribute to the creation and maintenance of data analytics tools.
→Participate in team initiatives, contributing to project execution and data processing tasks.
→Support data collections, help draft technical reports, and assist in preparing findings for internal team reviews.
→Collaborate with cross-functional team members to support broader project goals.

1–2+ years of experience in Data Science (or a strong portfolio of academic/personal projects), ideally involving real-world or sensor data.
Proficiency in Python; familiarity with deep learning frameworks (e.g., PyTorch) and multimodal data fusion is a plus.
Foundational knowledge of forecasting, statistical analysis, and simulation techniques.
A Bachelor’s or Master’s degree in a STEM-related field (e.g., engineering, computer science, mathematics, statistics).
Experience working with SQL, Git, and cloud environments (e.g., AWS).
A collaborative mindset, with the ability to communicate technical concepts clearly and a willingness to learn in a fast-paced environment.
A proactive attitude and curiosity about the intersection of technology and human health.