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Data Scientist (m / w / d)

Staatliche Führungsakademie für Ernährung, Landwirtschaft und Forsten

Landshut

Vor Ort

EUR 40.000 - 60.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

Zusammenfassung

Eine staatliche Bildungseinrichtung in Landshut sucht einen Data Scientist (m/w/d) zur Analyse und Optimierung von Wissensmanagementprozessen mit AI-Technologien. Der ideale Kandidat verfügt über Kenntnisse in Python und SQL sowie über einen Bachelor-Abschluss in Informatik oder vergleichbar. Flexible Arbeitszeiten, 30 Urlaubstage sowie eine sichere Anstellung im öffentlichen Dienst werden geboten.

Leistungen

30 Tage Urlaub
Mobiles Arbeiten möglich
Moderne IT-Ausstattung
Mentoring-System

Qualifikationen

  • Bachelor-Abschluss in Informatik, Wirtschaftsinformatik oder ähnlichem.
  • Qualifikation für den Einstieg in die dritte Qualifikationsebene.
  • Erfahrung in der Datenaufbereitung und -analyse.

Aufgaben

  • Bestehende Regelprozesse analysieren und Optimierungspotenziale identifizieren.
  • Datenbanken für AI-Anwendungen evaluieren und optimieren.
  • Fachabteilungen zu Wissensmanagement beraten.

Kenntnisse

Python
SQL
Analytisches Denken
Kommunikation
Teamarbeit

Ausbildung

Bachelor in Informatik, Wirtschaftsinformatik oder vergleichbar
Berufserfahrung in AI / Wissensmanagement
Jobbeschreibung

State Leadership Academy for Food, Agriculture and Forestry

The State Leadership Academy for Food, Agriculture and Forestry (FüAk) is an intermediate authority within the remit of the Bavarian State Ministry of Food, Agriculture, Forestry and Tourism with its headquarters in Landshut.

Data Scientist (m / f / d)

Location Landshut - up to A13 / up to EGr. 11 TV-L

Your area of application

We focus on innovation and progress in the field of digitalization and artificial intelligence. As part of the expansion of a competence center in the field of AI / knowledge management (currently 3 employees), we are looking for several motivated employees. They will play a central role in the implementation of AI technologies and optimization of knowledge management in the division and contribute to making our processes future-proof.

Your tasks
  • Analyzing existing regulatory processes and identifying potential for optimization through knowledge management and the use of AI
  • Analyzing, evaluating and optimizing existing databases for their usability for AI applications
  • Advising specialist departments on the optimization of knowledge management and the implementation and use of AI solutions
  • Viewing, preparing and connecting complex data sets for AI and generative AI applications.
  • Developing and validating functional prototypes and proof‑of‑concepts to test data‑driven AI approaches and their practical applicability in official processes.
  • Training of employees in the field of AI.

The specific scope of tasks depends on the existing qualifications and the individual scope of employment of the applicant.

Your profile
  • A bachelor's degree in computer science, business informatics, natural sciences, data science, artificial intelligence or a comparable course of study
  • Qualification for entry into the third qualification level of the science and technology career path, specializing in administrative informatics or with several years of professional experience in the field of AI / knowledge management
  • Very good knowledge of Python and SQL
  • Sound knowledge in the development and use of AI models, especially with regard to generative AI
  • Experience in the field of data preparation and analysis
  • An advantage: Experience in agile project management
  • Experience in public administration
  • Strong analytical thinking skills combined with a methodical, goal‑oriented approach
  • Teamwork and communication skills, including the ability to explain complex technical issues clearly, concisely and appropriately to the target audience
  • Service and service orientation
  • Proficiency in written and spoken German to at least level C1 of the CEFR (to be demonstrated by an appropriate certificate if necessary)
Our offer
  • Permanent employment or takeover
  • up to grade A13
  • up to pay group 11 TV‑L
  • Full‑time / part‑time (Please indicate the desired scope of employment in your application)
  • Working hours: family‑friendly thanks to various working time models and forms with flexitime
  • Flexible working: mobile working and home office possible
  • Vacation: 30 days vacation entitlement with a 5‑day week and additional days off 12 / 24 / 31.
  • Equipment: modern IT equipment
  • Security: a modern, crisis‑proof workplace with all the attractive social benefits of the public sector
  • Mentoring system: in‑depth induction with a dedicated contact person
  • Development: versatile professional and personal development opportunities
  • Special benefits: Capital‑forming benefits, special annual payment

Severely disabled applicants will be given preferential consideration if they are otherwise equally qualified. In order to achieve equality between women and men, there is a particular interest in applications from women. Decisions on the allocation of positions are made on application with the involvement of the Equal Opportunities Officer. Applications from people with a migration background are welcome.

Contact
  • Technical questions about the position: Dr. Lang (0871 9522-4435)
  • Questions about the application process: Mr. Pellkofer (0871 9522-4468)

Please send your application documents (CV, work and examination certificates, cover letter, ...) by e‑mail in a PDF file by 05.11.2025 at the latest, quoting reference FüAk‑A5‑0303‑58‑96 :

bewerbungen-a5@fueak.bayern.de

Landshut : https://www.fueak.bayern.de/service/index.html

State Leadership Academy for Food, Agriculture and Forestry : https://www.fueak.bayern.de/arbeitsfelder/index.html

Competence center in the field of AI / knowledge management : https://www.fueak.bayern.de/mam/cms05/fueak/dateien/organisationsstruktur_fueak.pdf

Up to A13 : https://www.lff.bayern.de/media/r1alyyxf/anlg-3_grundgehaltssaetze-beso-a.pdf

Up to EGr. 11 TV‑L : https://www.lff.bayern.de/themen/arbeitnehmer/entgelttabellen/

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