Data Scientist and Engineer
vor 4 Wochen
We are seeking a highly motivated and skilled working student to join our data science and data engineering team at our Munich office. The ideal candidate will have advanced knowledge of Python and ML and experience with natural language processing (NLP) is a plus. We offer a dynamic and international working environment with flat hierarchies and direct communication.
Key Responsibilities- Clean, transform, and analyze data using Python and Pandas
- Build, test, and deploy NLP-based machine learning models
- Develop and maintain software for large-scale data processing
- Collaborate with supervisor and the team to understand data needs and deliver insights
- Generate ideas based on the latest developments in data science and NLP
- Currently enrolled in a Master's degree program in Computer Science, Data Science, or a related field
- Strong understanding of Python and experience with machine learning
- Experience with machine learning, especially NLP, is a plus
- Interest in emerging topics in NLP such as few-shot learning, semantic search, and retrieval strategies
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Ability to work independently and in a team environment
- Availability to work as a working student
Cobrainer is the leading AI-based skills platform for internal recruiting, talent and skill management. Established as a SaaS company in 2019 by students of TU-Munich, Cobrainer has developed into the leading AI skill management solution of today. The platform manages over 100,000 employee profiles for enterprise companies, using AI to analyze the employee skills and enabling faster, more targeted and more successful internal hiring. Cobrainer's database recognizes over 500,000 individual, real-world skills and matches employees to suitable positions, projects and training opportunities.
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