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- Aufgaben: Dive into text documents to uncover insights and develop cutting-edge algorithms.
- Arbeitgeber: Join a dynamic team in Essen/Munich focused on NLP and Text Mining.
- Mitarbeitervorteile: Enjoy an agile work environment with opportunities for personal impact and idea development.
- Warum dieser Job: Tackle exciting challenges while collaborating with a diverse, digitally-savvy team.
- Gewünschte Qualifikationen: Experience in NLP/Text Mining and familiarity with clustering/classification techniques required.
- Andere Informationen: Leadership experience is a plus; we can't wait to see your CV and projects!
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Data Scientist NLP and Text Mining (f/m/d) Essen/Munich
Your responsibilities
- Examine large collections of text documents to generate new information.
- Implement data mining and machine learning modules able to deal with entity, event, and relationship extraction from unstructured collections.
- Develop algorithms for information retrieval, feature analysis, and other similar problems.
- Improvements to natural language processing and text mining.
- Experience in the field of Text Mining/NLP with a good understanding of text clustering/classification/summarization techniques, feature analysis, LDA, POS Tagging, and other related techniques.
- Deep learning methodologies in the context of Speech Recognition is a plus.
- Leadership experience would be desirable.
- Exciting business challenges to be solved.
- A space to develop ideas and create personal impact.
- An agile and hands-on environment.
- You will work with an international, interdisciplinary, and digitally thinking team.
We’re looking forward to your CV and project list. Get in touch: / +49 89 69396173
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/ Data Scientist NLP and Text Mining (f/m/d) Arbeitgeber: Digitaltreiber UG
Kontaktperson:
Digitaltreiber UG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: / Data Scientist NLP and Text Mining (f/m/d)
✨Tip Number 1
Familiarize yourself with the latest trends and technologies in NLP and text mining. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase any relevant projects or experiences that highlight your skills in text clustering, classification, and summarization techniques. Real-world examples can make a strong impression on our hiring team.
✨Tip Number 3
If you have experience with deep learning methodologies, especially in speech recognition, be ready to discuss how you've applied these techniques in past projects. This could set you apart from other candidates.
✨Tip Number 4
Show your enthusiasm for working in an agile and interdisciplinary environment. Be prepared to share how you’ve collaborated with diverse teams in the past and how you can contribute to our innovative culture.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: / Data Scientist NLP and Text Mining (f/m/d)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in NLP and Text Mining. Include specific projects or roles where you implemented data mining, machine learning, or worked with text clustering/classification techniques.
Showcase Technical Skills: List your technical skills clearly, especially those related to algorithms for information retrieval, feature analysis, and deep learning methodologies. Mention any familiarity with LDA, POS Tagging, and other relevant techniques.
Tailor Your CV: Customize your CV to reflect the responsibilities and requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out to recruiters.
Prepare a Project List: Include a detailed project list that showcases your work in NLP and Text Mining. Highlight the challenges faced, solutions implemented, and the impact of your contributions on previous projects.
Wie du dich auf ein Vorstellungsgespräch bei Digitaltreiber UG vorbereitest
✨Showcase Your NLP Knowledge
Be prepared to discuss your experience with natural language processing techniques. Highlight specific projects where you implemented text mining, clustering, or classification methods, and be ready to explain the algorithms you used.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to tackle complex data challenges. Prepare examples of how you've approached similar problems in the past, focusing on your thought process and the outcomes of your solutions.
✨Familiarize Yourself with Deep Learning
If you have experience with deep learning methodologies, especially in speech recognition, make sure to mention it. Be ready to discuss how these techniques can enhance NLP tasks and provide specific examples from your work.
✨Emphasize Team Collaboration
Since you'll be working in an interdisciplinary team, highlight your teamwork skills. Share experiences where you collaborated with others to achieve a common goal, and express your enthusiasm for contributing to a diverse team environment.
