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Data Scientist

Job in 6370, Stans, Kanton Nidwalden, Switzerland
Listing for: ROSEN
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 150000 - 200000 CHF Yearly CHF 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (all genders welcome)
Location: Stans

Location:

Stans, NW, Switzerland

Data Scientist (all genders welcome)

Together with a small interdisciplinary team, you will ensure the rapid implementation of customer‑specific product developments. These are inspection equipment for oil, gas and hydrogen pipelines as well as above ground storage tanks.

Responsibilities
  • Development of algorithms for the detection and classification of objects from data measured by our pipeline inspection equipment
  • Co-creation and implementation of technological trends, for example in the areas of artificial intelligence, high‑performance computing, data persistence and processing, as well as big data solutions
  • Collecting, preparing, processing and analyzing large heterogeneous data sources
  • Development of algorithmic methods from the fields of signal processing, machine learning and computer vision and use of 3rd‑party components
  • Provision of algorithms and intelligent services in the form of minimum viable products with a focus on customer experience
  • Interdisciplinary cooperation in the integration of algorithms into our software applications
Qualifications
  • Completed studies or doctorate in information technology, physics, mathematics, computer science or a comparable field of study
  • Sound knowledge of applied mathematics (linear algebra, optimization methods, stochastics)
  • Knowledge of at least one object‑oriented programming language (e.g., Python, C/C++, or Java)
  • Methodological competencies in data mining and machine learning, in particular supervised and unsupervised learning
  • Experience in algorithm development, e.g., for descriptive and diagnostic analyses, as well as with forecasting methods
  • Basic knowledge in non‑destructive testing using ultrasound as well as experience in explainable artificial intelligence, MLOps and applied statistics desirable
  • Experience in software engineering is an advantage
  • Good written and spoken English language skills, German is an advantage
What we offer

An exciting and varied task in a highly interesting and international environment with appropriate resources. Advanced working conditions in an innovative and future‑oriented company.

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