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, explaining your previous experience with AI in solving business problems and your connection to endurance sport, if any.

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