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

Find the signal. Build the algorithm. Make it work in real\-time.

We build award\-winning smart glasses in Vienna: hardware, firmware, software, all under one roof. The data our devices generate is rich, complex, and full of untapped potential. We're looking for someone who can take that raw time\-series data, design algorithms that make sense of it, and see them through from experiment to deployment all on a product that people actually wear.

Tasks
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What You'll Be Doing

• 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

What You Bring to the Team

• 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

• 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

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

We can't wait to meet you.

Making Future Reality – let's train it together.

Send us your application and let's take off together!

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