(Senior) Data Scientist (all genders) - The Pattern Hunter

Viewpointsystem GmbH
Vienna, Austria
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior
Compensation
€ 77K

Job location

Vienna, Austria

Tech stack

Data analysis
C++
Cognitive Science
Computer Simulation
Computer Programming
Noise Reduction
Firmware
Python
Machine Learning
Eye Tracking
Sensor Fusion
Signal Processing
Real Time Systems
Feature Engineering
Model Validation
Feature Extraction
Data Pipelines

Job description

  • 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

Requirements

Do you have a Doctoral degree?, * Strong background in machine learning, data science, statistics, applied mathematics, physics, or a related field

  • Proven experience designing and training ML models, not just running existing frameworks
  • Solid understanding of data acquisition, feature engineering, and model evaluation
  • 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
  • Programming proficiency in Python, C++, or similar, you are comfortable owning your code end to end
  • Experience working with noisy, real-world data
  • Fluent English; German is welcome

Nice to have

  • Experience with edge deployment or on-device inference
  • 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
  • Experience with embedded or real-time systems
  • Knowledge of multimodal sensor fusion
  • Familiarity with neural data (EEG, fNIRS, GSR)
  • Track record of publications or applied research

Benefits & conditions

What's extra?

  • 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

Ready to turn raw data into real understanding, and real understanding into better products?

We can't wait to meet you.

Apply for this position