Experienced Data Scientist: Algorithm Development
vor 2 Wochen
greenTEG, a spin-off of ETH Zurich, is developing innovative sensor solutions targeting the wearables market. For the development of algorithms to detect and track physiological parameters, we are looking for a data scientist with expertise in
modeling physiological time-series data.
Tasks
As part of the R&D team, you will
- prepare and analyze recorded sensor data in Python
- improve our current core body temperature algorithm and implement new ideas for tracking physiological parameters
- document your progress in detail, write reports and case studies
- coordinate technical progress with external university and medical partners
- take over responsibilities for the project
**Requirements**:
You have a valid Master’s (or equivalent) university degree in mathematics, statistics, computer science, physics or engineering and at least 2 years of experience in algorithm development based on physiological time series data.
Furthermore, you have to be experienced in
- Python language for numerics, data analysis and machine learning
- data mining, processing and analysis
- statistics, machine learning concepts, pipelines and algorithms
- working with physiological time series data
- understanding the physics of heat flow and thermal conduction
- project management
A valid work permit for Switzerland or an EU citizenship is mandatory.
Please provide sample Python code from one of your reference projects in
**Benefits**:
Welcome to our team
We offer a collegial and striving work environment in a motivated,
dynamic and high-tech oriented team.
Interested? - Join us
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