Responsibilities
1. Define & Explore: Collaborate with product and engineering teams to frame NLP problems, identify relevant data, and design collection/annotation strategies.
2. Clean & Prepare: Process large volumes of unstructured text through tokenization, normalization, and feature extraction.
3. Model & Innovate: Build and evaluate machine learning and deep learning NLP models, including transformers and sequence models.
4. Leverage LLMs: Fine-tune pre-trained language models (e.g., Hugging Face), apply prompt engineering, and integrate LLMs into real-world use cases.
5. Experiment & Evaluate: Run experiments, optimize performance, and validate models using NLP metrics like F1-score, ROUGE, or perplexity.
6. Generate Insights: Extract meaningful insights from text data and communicate findings to technical and non-technical audiences.
7. Deploy & Collaborate: Work closely with engineers to bring NLP solutions into production—ensuring performance, scalability, and maintainability.
8. Stay Ahead: Keep up with the latest research in NLP and contribute to driving innovation within the team.
Requirements
9. 3+ years of experience as a Data Scientist with a focus on NLP
10. Solid understanding of NLP methods and best practices
11. Strong Python skills and familiarity with libraries like Hugging Face, SpaCy, NLTK, scikit-learn, TensorFlow, or PyTorch
12. Experience with preprocessing and analyzing large text datasets
13. Knowledge of deep learning architectures (Transformers, RNNs, LSTMs, etc.)
14. Strong statistical background and experience with A/B testing and experimentation
15. Comfortable working with SQL/NoSQL databases and large-scale data
16. Clear communicator with the ability to simplify complex concepts
17. Degree in Computer Science, Data Science, Linguistics, or a related field
What we offer
18. An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.843 gross/month)
19. 28 days of well-deserved holidays
20. Onsite Onboarding in our HQ office for an optimal start
21. Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
22. Public transport friendly office
23. Special terms for local gyms
24. Access to Corporate Benefits platform with many discounts
25. Regular Team events and company-wide celebrations
26. Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
27. Hybrid and Flexible work time with up to 50% home office
28. Work From Abroad Program allowing up to 40 days of work outside your contracting country
29. We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!