Job
- Level
- Senior
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 3.954 bis 5.500€ Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Algorithmen für die Analyse von Echtzeit-Sensordaten, führst Modelle zur Vorhersage kognitiver Zustände ein und optimierst den gesamten Datenverarbeitungsprozess zur Verbesserung der Algorithmen.
Job Technologien
Deine Rolle im Team
- Find the signal. Build the algorithm. Make it work in real-time.
- Design and own the full pipeline, from data collection and preprocessing to model conception and training, quantitative evaluation, and deployment.
- Develop and iterate on algorithms for real-world time-series sensor data, including eye-tracking and physiological signals.
- Build robust data collection strategies that feed high-quality training sets.
- Experiment rigorously: select the right algorithms, validate results, and know when a solution is good enough to ship.
- Collaborate closely with hardware, firmware, and software engineers to deploy algorithms that run with accuracy, speed, and robustness on device.
- Continuously improve algorithm performance across varying real-world conditions.
- Develop computational models of attention, perception, and cognitive workload.
- Measure and model eye-tracking signals (gaze, pupil size, eye movements) and interpret them in the context of cognitive and neural processes.
- Build advanced signal processing pipelines for noise reduction, filtering, and feature extraction.
- Apply statistical modelling and machine learning to infer mental states from noisy, real-world data.
- Identify gaps between theoretical constructs and observable signals, and refine models accordingly.
- Critically evaluate measurement approaches to ensure cognitive metrics are meaningful, reliable, and interpretable.
- Collaborate with engineers, product, software, and hardware teams to translate ideas and insights into practical algorithms and product features.
- Support and design experiments, including collaborations with universities and research institutions.
Unsere Erwartungen an dich
Qualifikationen
- Strong background in machine learning, data science, statistics, applied mathematics, physics, or a related field.
- Solid understanding of data acquisition, feature engineering, and model evaluation.
- Programming proficiency in Python, C++, or similar, you are comfortable owning your code end to end.
- Fluent English; German is welcome.
- PhD or strong background in computational neuroscience, cognitive science, or psychology is a strong plus, measurement quality needs to be defended, not assumed.
- Familiarity with eye-tracking, physiological, or similar time-series data is nice to have.
- Knowledge of multimodal sensor fusion is nice to have.
- Familiarity with neural data (EEG, fNIRS, GSR) is nice to have.
- Track record of publications or applied research is nice to have.
Erfahrung
- Proven experience designing and training ML models, not just running existing frameworks.
- Proven experience in statistical analysis of time-series data.
- Experience building data processing pipelines for time-series or sequential data.
- Proven experience in sensor fusion and multi-modal data analysis.
- Experience working with noisy, real-world data.
- Experience with edge deployment or on-device inference is nice to have.
- Experience with embedded or real-time systems is nice to have.
Unser Angebot
- Salary: €3.954 - €5.500 gross/month depending on experience.
- Yearly public transport card (Vienna).
- Workation within the EEA.
- Dog-friendly offices.
- "Inspire Days" - time to learn and recharge.
- A front-row seat to how a deep-tech hardware product gets built, from PCB to shipped device.
- Small, international team where your impact is visible every day.
Benefits
Work-Life-Integration
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
viewpointsystem gmbh
Wien
Viewpointsystem verbindet das Fachwissen der Blickforschung mit zukunftsweisender Technologieentwicklung. Nach langjähriger Forschung im Bereich Eye Tracking brachte Viewpointsystem 2016 das erste System für industrielle Eye Tracking-Anwendungen auf den Markt. Unsere Datenbrillen werden von Firmenkunden weltweit eingesetzt.
Description
- Unternehmensgröße
- 1-49 Employees
- Gründungsjahr
- 2016
- Sprachen
- Englisch
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Data Scientist
- Gehalt
- 3.954 bis 5.500€ Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
