(Senior) Data Scientist

(Senior) Data Scientist

TeamViewer

Linz, Austria

Responsibilities

• Problem Framing & Strategy: 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.
• Data Preparation & Feature Engineering: Process and analyze large volumes of unstructured text data, performing essential tasks such as tokenization, normalization, and advanced feature extraction.
• Modeling & Innovation: Design, build, and rigorously evaluate cutting-edge machine learning and deep learning NLP models, including advanced architectures like transformer networks and sequence models.
• Experimentation & Validation: 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.
• Deployment Collaboration: Partner effectively with ML and Software Engineers to transition NLP solutions from research prototypes to robust, scalable, and maintainable production systems.

Requirements

• Specialized Experience: 3+ years of practical experience as a Data Scientist with a dedicated focus on Natural Language Processing (NLP).
• Technical Stack: 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).
• Data Handling: Proven ability to preprocess, analyze, and manage large-scale text datasets, and comfort working with SQL/NoSQL databases in a big data environment.
• Translational Communication: 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.
• Driving collaboration: You easily adapt to at working cross-functionally, proactively collaborating with Engineering and Product teams to align technical solutions with business goals and drive project completion.
• Independent & Accountable: You demonstrate high ownership over your models, from initial concept design through to production performance monitoring, and can manage ambiguity effectively.