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.

Junior Data Scientist

Key skills