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Scientific Associate in Data Science (60 - 80 %)

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Employment type
Part-time
Workload
60–80%
Location
Olten
Languages
French, French
First posted
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  • 30 octobre 2026
  • 60 - 80%
  • Durée indéterminée
  • Olten

Join FHNW as a scientist in Data Science. Benefit from a dynamic and international culture.

Tasks ##

  • Conduct quantitative research projects and data analysis.
  • Support teaching and knowledge transfer to students.
  • Offer administrative support and participate in client projects.

Skills ##

  • Master's in computer science, statistics or similar field required.
  • Excellent skills in quantitative methods and modeling.
  • Proficiency in Python and/or R with professional experience.

Teaching, research and practice - we connect ##

Scientific Associate in Data Science (60 - 80 %) #

Haute école de gestion FHNW, Institute for Competitiveness and Communication ##

Your tasks :

In this versatile role, you will work at the Institute for Competitiveness and Communication of FHNW within the Social Network Analysis competence center. You will be heavily involved in the processing of research projects and services that are primarily quantitative.

  • Processing of quantitative research projects and services. This includes bibliographic research, data analysis, statistical modeling, ML model training and software development.
  • Administrative and organizational support for project managers. Participation in client projects and support in daily activities.
  • Support for teaching, notably the supervision of student work and support for the transfer of knowledge between teaching and practice.

The position is initially limited to 3 years.

Your profile :

You are a customer-oriented, highly motivated and reliable person. Furthermore, you possess the following qualifications:

  • Master's in computer science, statistics, applied mathematics, physics or in a similar field.
  • Very good knowledge of different quantitative methods. Ideally, you are already familiar with Gaussian processes and Bayesian optimization.
  • Good programming skills in Python and/or R.
  • Several years of professional experience after obtaining the bachelor's degree.
  • Excellent written and oral mastery of German and English.

The combination of teaching, research and practice is our passion. Our Haute école de gestion FHNW cultivates and uses the richness of the diversity of its employees. Our ambition is to learn every day in a connected and dynamic world in order to train the innovative and responsible leaders of tomorrow. We live an appreciative, practical and internationally oriented culture.

Will you soon be part of our team? We look forward to receiving your application.

www.fhnw.ch/de/wirtschaft

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