Overview Join TeamViewer, the leader in remote connectivity software. We harness the potential of cutting-edge technologies such as Augmented Reality and Artificial Intelligence to push the boundaries of innovation and shape the future of digitalization. Our team of more than 1,500 employees spans different continents, cultures and disciplines. With our inclusive values, we celebrate the unique perspectives and talents each individual brings to the table and foster a dynamic work environment where new ideas thrive. Become part of our winning team and help us create a world that works better. We are seeking an innovative and skilled Data Scientist with a specialized focus on Natural Language Processing (NLP) to join our team. In this role, you will be instrumental in extracting insights, building intelligent systems, and developing advanced machine learning models that understand, process, and generate human language. You will leverage large textual datasets to solve complex business problems and enhance our products with cutting-edge NLP capabilities.
Responsibilities Define & Explore: Collaborate with product and engineering teams to frame NLP problems, identify relevant data, and design collection/annotation strategies.
Clean & Prepare: Process large volumes of unstructured text through tokenization, normalization, and feature extraction.
Model & Innovate: Build and evaluate machine learning and deep learning NLP models, including transformers and sequence models.
Leverage LLMs: Fine-tune pre-trained language models (e.g., Hugging Face), apply prompt engineering, and integrate LLMs into real-world use cases.
Experiment & Evaluate: Run experiments, optimize performance, and validate models using NLP metrics like F1-score, ROUGE, or perplexity.
Generate Insights: Extract meaningful insights from text data and communicate findings to technical and non-technical audiences.
Deploy & Collaborate: Work closely with engineers to bring NLP solutions into production—ensuring performance, scalability, and maintainability.
Stay Ahead: 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
What We Offer An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.843 gross/month)
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
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.
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