Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Berlin, Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data-driven analysis projects, work on machine learning models, and optimize key data processes to support user-oriented journalism.
Job Technologies
Your role in the team
- Development and management of complex analysis projects and data-driven processes to support modern, user-oriented journalism.
- Data analysis based on diverse sources using the complete Data-Science toolkit - from Data Mining and Feature Engineering to Modelling, Deployment, and Dashboarding.
- Design, training, deployment, and operation of AI and machine learning models as well as the development and enhancement of scalable MLOps and analytics solutions.
- Automation and optimization of core data processes to turn recurring analyses into efficient, scalable solutions.
- Identification of application opportunities for Advanced Analytics, Predictive Analytics, and AI applications, as well as clear communication of complex methods and results to a wide range of stakeholders.
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Our expectations of you
Education
- Completed university degree (Master's / Magister / Diplom / very good Bachelor's) in the 'STEM' field or empirical social sciences.
- Initial relevant professional experience in the conception, execution, and management of data science projects with Python - from planning to successful project completion.
Qualifications
- Solid knowledge in the application of statistical methods as well as AI and Machine Learning models. A confident understanding of mathematical and statistical concepts, especially descriptive and inferential statistics, hypothesis testing, regression techniques, multivariate analyses, as well as classification, pattern recognition, and clustering methods.
- Proficient in handling SQL databases, Linux systems, Bash, and Docker.
- Strong ability to clearly prepare and visualize complex data and relationships for technical and non-technical audiences. Analytical mindset, independent and agile working style, as well as a high willingness to learn and enthusiasm for exploring new fields. Confident collaboration within interdisciplinary teams.
- Very good German and English skills in spoken and written form (at least C1 level).
Experience
- Advanced Python skills as well as practical experience with common Data Science, Machine Learning, and NLP frameworks such as NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, PyTorch, TensorFlow, Transformers, SpaCy, and Hugging Face.
- Experience in MLOps (e.g., MLFlow, FastAPI, GitLab CI/CD, Unit Tests), Generative AI (e.g., OpenAI), as well as with LLM- and agent-based workflows, is advantageous.
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What we offer
- Meaningful tasks in an international media environment.
- Modern Work Culture New Work: Digital Leadership and Collaboration.
- Development opportunities: extensive training programs and formats.
- Flexible working models: working hours and home office.
- Attractive compensation at market-competitive level.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Deutsche Welle
The Deutsche Welle is a world-renowned foreign broadcaster that provides multimedia journalistic content in 30 different languages. In addition, the DW Akademie supports the fundamental human right to freedom of information and expression in 50 developing and emerging countries.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Junior Data Scientist
- Location
- Berlin, Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
