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(senior) data scientist (all genders)

Kirchdorf an der Krems
TeamViewer Germany GmbH
Data Scientist
Inserat online seit: 27 April
Beschreibung

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities Problem Framing & Strategy: Collaborate closely with Product and Engineering teams to define and frame high-impact 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 AI architecture. Experimentation & Validation: Execute comprehensive experiments (including A/B testing), define key 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 solutions from research prototypes to robust, scalable, and maintainable production system s. Requirements Specialized Experience: 3+ years of practical experience as a Data Scientist with a dedicated focus on data analysis and structuring, as well as working with a team. Technical Stack: Strong proficiency in Python and expert-level familiarity with key ML libraries (e.g., Hugging Face, SpaCy, NLTK) and deep learning frame...

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