Level: Experienced

Job Field: Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 3.843 € Gross/Month

Location: Linz

Working Model: Hybrid, Onsite

Job Summary

In this role, you will work on NLP projects by analyzing unstructured text data, developing and optimizing ML models, and clearly communicating insights while deploying solutions into production.

Job Technologies

Your role in the team

Collaborate with product and engineering teams to frame NLP problems, identify relevant data, and design collection/annotation strategies.
Process large volumes of unstructured text through tokenization, normalization, and feature extraction.
Build and evaluate machine learning and deep learning NLP models, including transformers and sequence models.
Fine-tune pre-trained language models (e.g., Hugging Face), apply prompt engineering, and integrate LLMs into real-world use cases.
Run experiments, optimize performance, and validate models using NLP metrics like F1-score, ROUGE, or perplexity.
Extract meaningful insights from text data and communicate findings to technical and non-technical audiences.
Work closely with engineers to bring NLP solutions into production—ensuring performance, scalability, and maintainability.
Keep up with the latest research in NLP and contribute to driving innovation within the team.

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Our expectations of you

Education

Degree in Computer Science, Data Science, Linguistics, or a related field.

Qualifications

Solid understanding of NLP methods and best practices.
Strong Python skills and familiarity with libraries like Hugging Face, SpaCy, NLTK, scikit-learn, TensorFlow, or PyTorch.
Knowledge of deep learning architectures (Transformers, RNNs, LSTMs, etc.).
Comfortable working with SQL/NoSQL databases and large-scale data.
Clear communicator with the ability to simplify complex concepts.

Experience

3+ years of experience as a Data Scientist with a focus on NLP.
Experience with preprocessing and analyzing large text datasets.
Strong statistical background and experience with A/B testing and experimentation.

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