/ Data Scientist NLP and Text Mining (f/m/d)

Digitaltreiber UG; Frankfurt, München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A digital technology firm is seeking a Data Scientist specializing in NLP and Text Mining to work on innovative projects in Frankfurt. This position involves analyzing large text collections and developing machine learning algorithms for entity extraction. Ideal candidates will have experience in text mining techniques and a strong understanding of data analysis methodologies. The firm offers a collaborative environment for idea development and personal impact.

Qualifikationen

• Experience in Text Mining/NLP with a strong understanding of text clustering, classification, and summarization techniques.
• Familiarity with deep learning methods concerning Speech Recognition is an advantage.
• Desirable leadership experience.

Aufgaben

• Examine large collections of text documents to generate new information.
• Implement data mining and machine learning modules for entity and relationship extraction.
• Develop algorithms for information retrieval and feature analysis.

Kenntnisse

Text Mining

NLP

Data Mining

Machine Learning

Feature Analysis

Jobbeschreibung

Data Scientist NLP and Text Mining (f/m/d) Essen/Munich

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
• Deep learning methodologies in the context of Speech Recognition is a plus
• 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

Qualifications

• Experience in Text Mining/NLP with 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

Contact

We’re looking forward to your CV and project list. Get in touch: [e-mail] / [phone]