greenteg AG offers high-tech thermal sensing solutions for an international customer base.

Besides marketing industrial sensors for laser power metering and for assessing insulation properties of buildings, we also offer a unique core body temperature measurement solution (CALERA®) for wearable devices. The technology empowers customers with a wide range of innovative applications such as improving sports performance, continuous and non-invasive patient monitoring, ovulation tracking, sleep analysis or early detection of diseases.

The company develops, manufactures, and markets all solutions at our headquarters in Zürich-Rümlang.

To get additional support for our R&D team, we are looking for a Data Scientist.

Location: Rümlang, CH.

Workload: 80–100%.

Starting date: preferably February 2026.

• Develop and validate machine learning algorithms to predict core body temperature and related physiological parameters based on peripheral sensor signals (e.g., heart rate, skin temperature, heat flux).


• Design, implement, and document standardized model training and inference pipelines to ensure reproducibility and traceability


• Build and optimise C libraries for predictive models to enable seamless integration and high performance on embedded platforms, adhering to technical specifications.


• Manage and maintain datasets and measurement databases to ensure data quality, accessibility, and consistency for model development and evaluation.


• Analyse internal and customer data to assess algorithm performance, identify opportunities for improvement, and deliver clear, analytical reports and recommendations.


• Support customers during integration and testing of CALERA’s algorithmic libraries, ensuring smooth implementation and technical alignment with product requirements.


• Provide internal consultancy and feedback to product and development teams on algorithm behavior, feasibility, and performance to guide product enhancements and innovation.

Required Qualifications

• Master’s degree (or equivalent) in Data Science, Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related quantitative fields.


• 2+ years of relevant industry or research experience in data science, machine learning, or algorithm development.

Specific Skills & Competencies

• Proficiency in Python (NumPy, SciPy, scikit-learn, TensorFlow/PyTorch).


• Experience with visualization libraries, ability to design and maintain data pipelines, and manage large datasets.


• Solid basics in C/C++.


• General knowledge of time-series signals and signal processing.


• General knowledge of machine learning models and architectures.


• Strong problem-solving and analytical skills.


• Strong communication skills, ability to present methods, results, and insights clearly and compellingly for both technical and non-technical audiences.


• Demonstrated affinity with (sports) physiology, either through professional experience or through personal interest in human biology or athletic performance.


• Basic understanding of regulatory or quality requirements (such as ISO 13485, MDR, etc.) is a plus.


• Languages: English C1, German is an advantage.

What we offer:

• 25 annual paid vacation days (at 100% workload).


• Collaborative participation in enhancing company processes.


• An energetic, young, and international team.


• Flexible worktime, option for 1-2 remote days per week (at 100% workload).


• Regular social events, teambuilding, BBQ, free coffee and snacks.

Interested? – Join us!

Send your application CV and a short cover letter.

We will get back to you shortly to explain the next steps in the application process.