(Senior) Data Scientist (all genders)

(Senior) Data Scientist (all genders) Join us as a Data Scientist to frame high‑impact problems, engineer text data, build cutting‑edge models, and partner with ML teams to deliver scalable, production‑ready AI. Apply now 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 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 AI/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. What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation packag e above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.724, with ST2/rule: EUR 4.346 gross/month) 28 days of well-deserved holidays Onsite Onboarding in our HQ office for an optimal start Great benefits package including company achievement bonus, company stocks and regular salary reviews 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 Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. Department Research & Development Locations Linz Remote status Hybrid Employment type Full-time Type of Job Non Student