Data Scientist (m/f/d) - Natural Language Processing

Key Skills

Aartificial intelligence, Azure, Data science techniques, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

who we are 

We are O2 Telefónica – with our mobile phone brands we connect millions of people and offer our customers mobile freedom in the digital world. In addition, as a leading telecommunications provider, we play a key role in shaping digitalization in Germany. Our approximately 7,400 employees in this country are driving the transformation forward every day - including in our own company. Telefónica is one of the top employers in Germany and is part of the global telecommunications group Telefónica SA with more than 110,000 dedicated employees worldwide.

Become part of our unique team and let’s make a difference together!

What's waiting for you

• Development and implementation of NLP algorithms and models for natural language processing for various use cases, such as text classification, sentiment analysis, named entity recognition, text generation, etc.
• Analyzing and processing large amounts of text data from various sources and languages
• Development and improvement of speech recognition and text classification systems
• Researching new NLP methods and technologies to continuously develop our platform
• Work on further supervised and unsupervised ML models outside of NLP
• Collaboration with other data scientists and business managers, as well as with interdisciplinary teams, to develop tailor-made solutions for various application areas
• Evaluation and optimization of existing and new solutions
• Active involvement in the further development of our platform and methods

What you bring with you

• Completed Master's or PhD degree in computer science, mathematics, statistics, linguistics or a related field
• At least 3 years of professional experience in the field of data science or NLP
• In-depth knowledge of natural language processing, particularly in the areas of text analysis, text classification, sentiment analysis and speech recognition
• Sound knowledge of Python and common NLP libraries
• Experience with modern deep learning frameworks such as TensorFlow, PyTorch, Keras, etc., as well as with the use of cloud services Azure and Google Cloud
• Good understanding of NLP theories and concepts such as tokenization, stemming, lemmatization, POS tagging, word embeddings, etc., as well as machine learning and statistical models
• Familiar with current trends and developments in the field of NLP and AI
• Ability to work in a team and very good communication skills in German and English

What we offer you 

Modern, flexible working environment: Work wherever you want within Germany. Whether in the home office or one of our offices. We offer you maximum flexibility to organize your working day. 

Further training & development: Everything you need for your individual growth path. With a personal development plan, learning journeys and the possibility of job rotations, you will achieve your goals with us - in accordance with our guiding principle “connect, learn and move2grow”.

Financial advantages: A smartphone for business and private use as well as the ability to use credit to support partners, friends and family is a matter of course for us. You also benefit from a variety of corporate benefits and a quarterly bonus. 

Health: Our “Feel Good” program ensures that you feel well. Among other things, we offer fitness courses, nutritional advice and offers to improve workplace ergonomics and work-life balance. 

Social commitment: We are also committed outside the company boundaries. You can support social projects through volunteering days/holidays or fundraising runs. 

How to apply and what else you should know  

Convince us with your meaningful CV and accompanying certificates. You don't need a letter of motivation or cover letter with us. Please note that applications are only possible via our applicant portal and applications sent via email cannot be considered.  

Do you have questions about our application process and are you interested in further information about the position? Then please contact our recruiting team (de-recruiting@telefonica.com).