Data Scientist (all genders welcome)

Vollzeit  •  IT & Software  •  Stans, Switzerland

<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> Location: Stans, NW, Switzerland<br/><br/>Apply now<br/><br/>What you can expect<br/><br/>For our development team at the Stans (CH) site we are looking for a<br/><br/><strong>Data Scientist (all genders welcome)<br/><br/></strong>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.<br/><br/><strong>ACTIVITY<br/><br/></strong><ul><li>Development of algorithms for the detection and classification of objects from data measured by our pipeline inspection equipment</li><li>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</li><li>Collecting, preparing, processing and analyzing large heterogeneous data sources</li><li>Development of algorithmic methods from the fields of signal processing, machine learning and computer vision and use of 3rd party components</li><li>Provision of algorithms and intelligent services in the form of minimum viable products with a focus on customer experience</li><li>Interdisciplinary cooperation in the integration of algorithms into our software applications<br/><br/></li></ul>What you will bring<br/><br/><strong>To become part of the ROSEN family</strong>, you will impress with an independent and reliable way of working. You will also bring with you:<br/><br/><ul><li>Completed studies or doctorate in information technology, physics, mathematics, computer science or a comparable field of study</li><li>Sound knowledge of applied mathematics (linear algebra, optimization methods, stochastics)</li><li>Knowledge of at least one object-oriented programming language (e.g., Python, C/C++, or Java)</li><li>Methodological competencies in the field of data mining and machine learning, in particular supervised and unsupervised learning</li><li>Experience in algorithm development, e.g. for descriptive and diagnostic analyses, as well as with forecasting methods</li><li>Basic knowledge in the field of non-destructive testing using ultrasound as well as experience in the topics of explainable artificial intelligence, MLOps and applied statistics desirable</li><li>Experience in the field of software engineering is an advantage</li><li>Good written and spoken English language skills, German is an advantage<br/><br/></li></ul>What we offer<br/><br/>We offer you an exciting and varied task in a highly interesting and international environment with appropriate resources. You can expect advanced working conditions in an innovative and future-oriented company.<br/><br/><strong>Who we are</strong> The ROSEN Group is a leading global provider of cutting-edge solutions in all areas of the integrity process chain. Since its beginnings as a one-man business in 1981, ROSEN has grown rapidly and is today a technology group that operates in more than 110 countries with over 4,000 highly qualified employees.<br/><br/>ROSEN’s products and services:<br/><br/><ul><li>Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness</li><li>Customized engineering consultancy providing efficient asset integrity management</li><li>Production and supply of customized novel products and systems</li><li>Market-driven, topical state-of-the-art research and development providing “added-value” products and services<br/><br/></li></ul>For more information about the ROSEN Group, go to www.rosen-group.com.<br/><br/>Do you have any questions?<br/><br/>Dan Heiter<br/><br/>Recruitment </div>

Job Overview
  • Datum der Veröffentlichung

    Mai 26, 2026

  • Kategorie

    IT & Software

  • Job Type

    Vollzeit

  • Standort

    Stans, Switzerland

  • Arbeitgeber

    ROSEN

  • Source

    LinkedIn