(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

**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

Requirements

**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

**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

**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.

**Making Future Reality – let's train it together.**

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

**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

**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

Requirements

**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

**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

**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.

**Making Future Reality – let's train it together.**

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