17 beste Stellen als data scientist in bonn – aktuell auf Personalsuche

Data Scientist
Rheinische Friedrich-Wilhelms-Universität Bonn —Bonn
- Vollzeit
- Doktorat
- Wartung
- Forschungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
1 Tag
Senior Data Scientist (m/w/d)
INFODAS —Bonn
- Vollzeit
- Informatik
- Englisch
- SQL
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
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Data Scientist / Data Analyst (w/m/d)
HiSolutions AG —Bonn
- Vollzeit
- Hybrides Arbeiten
- Datenanalyse
- Kommunikationsfähigkeit
Direkt bewerben
Data Scientist (m/f/d)
Rheinische Friedrich-Wilhelms-Universität Bonn —Bonn
- Vollzeit
- Doktorat
- Wartung
- Forschungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
2 Tage
Associate Data Scientist AI (d/m/w), DHL Data & AI
Deutsche Post & DHL —Bonn
- Vollzeit
- Englisch
- Java
- Master
Data Scientist AI (D/F/M), DHL Data & AI
Deutsche Post & DHL —Bonn
- Vollzeit
- Informatik
- Azure
- Master
Analytics Scientist (h/f/d)
Novonesis —Rheinbreitbach
- Teilzeit
- Master
- Kommunikationsfähigkeit
- Analytik
- Kostenlose Verpflegung
11 Tage
Data Scientist (m/w/d)
VP-Systeme GmbH —Köln
- SQL
- Künstliche Intelligenz
- Python
10 Tage
Data Engineer/Data Scientist in Finance (m/w/d)
WIRTGEN DEUTSCHLAND Vertriebs- und Service GmbH —Windhagen
- Vollzeit
- Microsoft Excel
- Bachelor
- Wirtschaft
9 Tage
Data Scientist* Inputmanagement
BarmeniaGothaer AG —Köln
- Vollzeit
- Hybrides Arbeiten
- Machine Learning
- APIs
- Künstliche Intelligenz
Direkt bewerben
(Senior) Data Scientist (w/m/d) – infas 360
Ipsos —Bonn
- Vollzeit
- Doktorat
- Englisch
- Master
- Flexible Arbeitszeiten
Data Engineer / Data Scientist (M/F/D)
Qimia GmbH —Köln
- Vollzeit
- Azure
- Informatik
- Datenanalyse
Data Science & Solutions Consultant (m/w/d)
twomynds —Bonn
- Hybrides Arbeiten
- SQL
- Machine Learning
- APIs
Direkt bewerben
(Senior) AI Engineer / Data Scientist (w/m/d)
Cologne Intelligence GmbH —Köln
- 70.000 € – 90.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Azure
- Master
- SQL
- Kostenloser Parkplatz
- Erfolgsbeteiligung
Direkt bewerben
Forward Deployed AI Scientist, Germany & Austria - BCG X
Boston Consulting Group —Köln
- Vollzeit
- Doktorat
- DevOps
- Master
6 Tage
Data Engineer (m/w/d) - SCM
DEUTZ AG —Köln
- Hybrides Arbeiten
- Informatik
- Englisch
- SQL
- Gleitzeit
- Weiterbildungsprogramme
Data Analysis / Data Engineering / Data Science (M/F/D)
Qimia GmbH —Köln
- Vollzeit
- Azure
- Informatik
- Englisch
- Aufstiegsmöglichkeiten

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Data Scientist
Rheinische Friedrich-Wilhelms-Universität Bonn —Bonn
Machine learning and artificial intelligence applied to astronomical data,. We welcome candidates whose expertise bridges astronomy and data science — whether…
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Data Scientist

Rheinische Friedrich-Wilhelms-Universität Bonn -
Bonn

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Details zur Stelle

Vollzeit
vor 1 Tag

Leistungen

Homeoffice-Möglichkeit
Flexible Arbeitszeiten

Qualifikationen

TensorFlow
CI/CD
Doktorat
PyTorch
Wartung
Git
Forschungserfahrung
Fortran
Machine Learning
Physik
GitHub
GitLab
Python

Vollständige Stellenbeschreibung

The University of Bonn is an international research university offering a broad range of subjects. With a 200-year history, some 31,500 students, more than 6,000 employees and an outstanding reputation in Germany and abroad, the University of Bonn is one of the leading universities in Germany and has been awarded the status of a University of Excellence.

The newly established Hertz Chair in “Astrochemistry” within the Transdisciplinary Research Area Matter: Building Blocks of Matter and Fundamental Interactions (TRA 2) is seeking a full-time, permanent

Data Scientist

to start on October 1, 2026.

The field of Astrochemistry is an interdisciplinary field at the interface of Astronomy, Physics, chemistry and Computer Science. Prof Viti's group is at the forefront of astrochemical modelling. We develop innovative methodologies to connect theory and observations. This led over the years to the development and maintenance of an open-source suite of astrochemical and statistical/machine learning codes.

We seek an outstanding candidate who will take the lead on the application of computational methodologies for the group. This includes three core competencies: scientific software engineering, machine learning engineering and data science.

Potential areas of responsibility:

Development and maintenance of the in-house Astrochemical codes,
Machine learning and artificial intelligence applied to astronomical data,
Advanced statistical and probabilistic inference methods,
Scalable algorithms for the analysis of large observational, simulated, or laboratory data sets,
Efficient use of high-performance computing (HPC) on platforms ranging from local university clusters, first tier national HPC facilities and cloud-based platforms,

We welcome candidates whose expertise bridges astronomy and data science — whether through the development of new computational methods, the application of such techniques to cutting-edge data, or both.

Your tasks:

Develop and maintain the in-house Astrochemical codes,
Support the group in the exploitation and interpretation of large observational and computational datasets,

Requirements:

A PhD in Astronomy, Astrophysics, Physics, Computer Science, or a closely related field or proven equivalent knowledge and experience,
Python experience,
Familiar with git, Github and Gitlab,
Fortran experience,
Experience with at least one machine learning framework (Tensorflow, Pytorch or Jax) is advantageous,
Experience with CI/CD and test driven development,
Experience maintaining an (open source) research code,

We offer:

A varied and challenging role with one of the region’s largest employers, job security, and a commitment to the local community,
Flexible working hours (including the option to work from home to a certain extent),
An international work environment,
Opportunities for continuing education and professional development,
Occupational pension (VBL),
Many options available for university sports,
Excellent access by public transport thanks to Bonn’s central location as well as the opportunity to take advantage of low-cost parking,

The University of Bonn promotes an open, respectful, and non-discriminatory academic culture and is actively committed to equal opportunity and family friendliness. We aim to eliminate structural disadvantages and to strengthen diversity in research, teaching, and administration. Therefore, we welcome all applications, regardless of ethnic or social background, gender, sexual orientation, religion or belief, disability, or age.

Applications from women and people with a documented severe disability (or equivalent status) will be given preferential consideration in accordance with the State Equality Act (LGG) NRW and Social Code (SGB) IX.

If you are interested in this position, please submit your complete and detailed application materials by 05.07.2026, citing reference number 2026/273, using the online application form . For further information, please contact Professor Viti ([email protected]).

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