Academic Employee (f/m/d) Applied Data Science (Campus Hamburg)

SRH Hochschule Heidelberg; Hamburg; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

Une université privée de renom recherche un Employé Académique en sciences des données pour son campus de Hambourg. Le candidat devra enseigner des cours liés à l’analyse de données, participer au développement du programme et superviser des projets de recherche et des thèses. Une expertise en Python, R et des outils comme Tableau est requise. Ce poste à temps plein, limité à deux ans, offre de réelles opportunités de développement professionnel dans un environnement international.

Leistungen

Formation professionnelle à des tarifs spéciaux

Régime de retraite d'entreprise

Options de travail à temps partiel

Pass de transport local

Qualifikationen

• Diplôme universitaire dans un domaine pertinent (M.Sc. ou doctorat de préférence).
• Expérience en enseignement et recherche en data science appliquée.
• Connaissances pratiques et expérience pédagogique avec des langages de programmation.

Aufgaben

• Enseigner des cours orientés vers la compétence au niveau Master en anglais.
• Superviser des études de cas, stages et thèses de Master.
• Gérer et maintenir l'infrastructure de données.

Kenntnisse

Python

R

Data Science

Machine Learning

Natural Language Processing

Deep Learning

Intercultural competence

Social competence

Ausbildung

Master of Science or doctorate

Tools

Tableau

OpenRefine

Jobbeschreibung

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Academic Employee (f/m/d) Applied Data Science (Campus Hamburg), Hamburg

SRH Hochschule Heidelberg is one of the oldest and largest private universities in Germany. It is state recognized and accredited by the German Council of Science and Humanities. Currently, 3,000 students are enrolled across six schools. The university offers future-oriented courses in economics, computer science, media and design, engineering, social sciences, legal sciences, therapeutic sciences, and psychology. Students learn purposefully and independently through the CORE study concept, which combines scientific and practice-based thematic units to prepare students for professional life.

We are part of SRH, a leading provider of education and healthcare services with 16,000 employees, operating private colleges, education centers, schools, and hospitals.

We are seeking an Academic Employee (f/m/d) focused on teaching for our new Hamburg campus, starting as soon as possible on a full-time basis. The position is initially limited to two years.

What you can look forward to:

• A diverse, exciting role with responsibility at a growing, international, and future-oriented university.
• Professional training at special rates, a company pension scheme, part-time work options, performance-related salary, and a local transport pass.
• Teaching competence-oriented courses at the Master's level in English, focusing on handling large data sets, machine learning, natural language processing, and deep learning.
• Supervision of case studies, internships, and Master's theses.
• Providing intensive support to students in their case studies each semester.
• Managing and maintaining data infrastructure.
• Participating in the development of the study program and academic self-administration.
• Supervising research projects and Master's theses in related areas.

Your profile:

• Completed university studies (Master of Science or doctorate preferred) in a relevant field.
• Experience in teaching and research in applied data science, with openness to new technologies.
• Practical knowledge and teaching experience with programming languages such as Python and R.
• Experience with tools like Tableau and OpenRefine.
• Relevant publications in these areas.
• An independent and responsible working style.
• Excellent English skills, high intercultural and social competence.

We value diversity and welcome applicants regardless of gender, nationality, ethnicity, social background, religion/belief, disability, sexual orientation, or gender identity. Disabled applicants with equal qualifications are given preference.

For further information, please contact Felicitas Völkel at [phone number].

Join our team and apply online, including the code below:

SRH Hochschulen GmbH, HR department | Hanife Öztürk

Note: Application documents may be shared with the appointment committee and external third parties, such as practice experts, other universities, or student representatives, in accordance with appointment regulations.