
Senior Data Scientist – all genders
TeamViewer
full-time
Posted on:
Location Type: Hybrid
Location: Linz • 🇦🇹 Austria
Visit company websiteSalary
💰 €3,843 per month
Job Level
Senior
Tech Stack
NoSQLPythonPyTorchSQLTensorflow
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Natural Language Processing (NLP)machine learningdeep learningtokenizationnormalizationfeature extractionPythonSQLNoSQLA/B testing
Soft skills
communicationcollaborationadaptabilityownershipproblem-solving