Data Scientist focusing on Natural Language Processing in a collaborative environment at TeamViewer. Engaging in model design, experimentation, and deployment for scalable NLP solutions.
Responsibilities
Collaborate closely with Product and Engineering teams to define and frame high-impact NLP problems, determining data requirements and designing robust data collection and annotation strategies
Process and analyze large volumes of unstructured text data, performing essential tasks such as tokenization, normalization, and advanced feature extraction
Design, build, and rigorously evaluate cutting-edge machine learning and deep learning NLP models, including advanced architectures like transformer networks and sequence models
Execute comprehensive experiments (including A/B testing), define key NLP evaluation metrics (like F1-score, ROUGE, or perplexity), and optimize model performance against business objectives
Partner effectively with ML and Software Engineers to transition NLP solutions from research prototypes to robust, scalable, and maintainable production systems
Requirements
3+ years of practical experience as a Data Scientist with a dedicated focus on Natural Language Processing (NLP)
Strong proficiency in Python and expert-level familiarity with key NLP and ML libraries (e.g., Hugging Face, SpaCy, NLTK) and deep learning frameworks (TensorFlow or PyTorch)
Proven ability to preprocess, analyze, and manage large-scale text datasets, and comfort working with SQL/NoSQL databases in a big data environment
You are a clear and compelling communicator with the ability to simplify highly complex NLP concepts and technical findings into actionable insights for both engineers and non-technical product/business leaders
You easily adapt to working cross-functionally, proactively collaborating with Engineering and Product teams to align technical solutions with business goals and drive project completion
You demonstrate high ownership over your models, from initial concept design through to production performance monitoring, and can manage ambiguity effectively.
Benefits
28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
Public transport friendly office
Special terms for local gyms
Fresh organic fruits, muesli, soft drinks and snacks for free
Access to Corporate Benefits platform with many discounts
Regular Team events and company-wide celebrations
Open door policy, no dress code rules and frequent all Hands
Hybrid and Flexible work time with up to 50% home office
Work From Abroad Program allowing up to 40 days of work outside your contracting country
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