Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Designing and owning the full pipeline for real-time time-series sensor data analysis with an accent on eye-tracking and physiological signal processing. Focus on building robust algorithms for edge deployment, bridging the gap between theoretical cognitive models and observable real-world data.
Location: Must be based in Vienna, Austria
Salary: €3,954 – €5,500 gross/month
Company
A Vienna-based deep-tech company developing award-winning smart glasses with integrated hardware, firmware, and software.
What you will do
- Design and own the full pipeline from data collection and preprocessing to model training and deployment.
- Develop algorithms for real-world time-series sensor data, specifically eye-tracking and physiological signals.
- Build robust data collection strategies to ensure high-quality training sets.
- Collaborate with hardware, firmware, and software teams to deploy accurate, real-time algorithms on-device.
- Develop computational models of attention, perception, and cognitive workload.
- Critically evaluate measurement approaches to ensure cognitive metrics are reliable and interpretable.
Requirements
- Strong background in machine learning, data science, statistics, or applied mathematics.
- Proven experience in statistical analysis and building pipelines for time-series or sequential data.
- Programming proficiency in Python or C++.
- Experience working with noisy, real-world data and sensor fusion.
- Fluent English required.
- Must be based in Vienna, Austria.
Nice to have
- PhD or background in computational neuroscience, cognitive science, or psychology.
- Experience with edge deployment or on-device inference.
- Familiarity with neural data like EEG or fNIRS.
- Track record of publications or applied research.
Culture & Benefits
- Yearly public transport card for Vienna.
- Workation opportunities within the EEA.
- Dog-friendly office environment.
- Inspire Days for learning and recharging.
- Opportunity to work on a full-stack deep-tech hardware product.
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