Job
- Level
- Senior
- Job Field
- Data, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 3.954 to 5.500€ Gross/Month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop algorithms for analyzing real-time sensor data, implement models for predicting cognitive states, and optimize the entire data processing pipeline to improve algorithm performance.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
- You are a professional translator for a job portal, specialized in HR and tech content. IMPORTANT RULES: - Maintain the original formatting and structure of the source text. - Correctly translate technical terms (e.g., "Frontend", "Backend", "DevOps", "Scrum Master"). - Use industry-standard terminology from HR and tech. - Preserve the tone (formal/informal, Du/Sie) of the original text. - Translate only the text; do not add additional explanations or comments. - Keep the list structure exactly as in the original for bullet points. - Technical terms with international usage may remain untranslated. - Always ensure correct grammar and a natural linguistic flow. Translate the following text precisely into English: 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.
Experience
- 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.
This text has been machine translated. Show original
What we offer
- 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.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
viewpointsystem gmbh
Wien
At Viewpointsystem, we combine pioneering technology with scientific know-how in the field of gaze research. We manufacture both the hardware and the software. We stand for disruptive technologies that enable intuitive and even subconscious communication between humans and machines.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2016
- Language
- English
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Scientist
- Salary
- 3.954 to 5.500€ Gross/Month
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
