Data Specialist

3 days ago

Budapest, Budapest, Hungary AIDY Health Full time €60,000 - €120,000 per year

AIDY Health is rethinking how technology can care for people: quietly, intelligently, and without intrusion. We develop AI systems that interpret subtle patterns in wireless and environmental data to understand human activity and health. Our mission is to make care more predictive, private, and accessible.

We're looking for a 
Data Scientist

who's eager to explore the frontiers of applied AI. You'll turn complex real-world data into insight and impact, working alongside a team of engineers, researchers, and designers who believe healthcare can be both high-tech and deeply human.

Your Role

  • Develop and refine machine learning models for signal- or sensor-based data.
  • Work with complex, high-dimensional datasets to uncover patterns and improve data quality.
  • Collaborate with engineers and researchers to identify and extract meaningful features from raw data.
  • Design experiments, assess model performance, and communicate findings to technical and non-technical audiences.
  • Support the full data lifecycle, from preprocessing and exploration to deployment and continuous improvement.

Your Profile

  • MSc or PhD in Data Science, Computer Science, or a related technical field.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
  • Experience working with time-series, sensor, or other complex datasets.
  • Solid understanding of data modelling, experimental design, and visualisation.
  • Analytical, creative, and motivated by solving problems that matter.
  • Interest in healthcare or human-centred AI applications.
  • Background in signal processing or embedded/edge AI.

What We Offer

  • A mission-driven startup environment combining AI, health, and purpose.
  • Remote-first work with flexible hours.
  • Direct collaboration with founders and core engineers.
  • Room to publish, prototype, and experiment with emerging sensing technologies.

If you want to use data science to improve real lives rather than just dashboards, we'd love to meet you.

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