TeamViewer

Data Scientist, NLP

TeamViewer

full-time

Posted on:

Location Type: Office

Location: Linz • 🇦🇹 Austria

Visit company website
AI Apply
Apply

Salary

💰 €3,843 per month

Job Level

Mid-LevelSenior

Tech Stack

NoSQLPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • 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

Requirements

  • 3+ years of experience as a Data Scientist with a focus on NLP
  • 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
  • Experience with preprocessing and analyzing large text datasets
  • Knowledge of deep learning architectures (Transformers, RNNs, LSTMs, etc.)
  • Strong statistical background and experience with A/B testing and experimentation
  • Comfortable working with SQL/NoSQL databases and large-scale data
  • Clear communicator with the ability to simplify complex concepts
  • Degree in Computer Science, Data Science, Linguistics, or a related field
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
  • Access to Corporate Benefits platform with many discounts
  • Regular Team events and company-wide celebrations
  • Open door policy, no dress code rules
  • Frequent all Hands and Leadership Lunches
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Natural Language ProcessingMachine LearningDeep LearningTokenizationNormalizationFeature ExtractionPrompt EngineeringA/B TestingStatistical AnalysisData Preprocessing
Soft skills
CollaborationCommunicationSimplifying Complex ConceptsInnovationProblem Solving