StepStone

Senior Data Scientist (m/w/d) Language Generation

Job description

At StepStone we have a simple but very important mission: As one of the leading online job platforms, we help everyone find the right job. Therefore, we need you!

To accomplish our mission, we are looking for (Senior) Data Scientist (f/m/d) NLP / NLG in Düsseldorf. In our international data science team you will help us build and shape the recruiting platform of the future.

Join us and become part of one of the largest German digital enterprises with more than 4,000 employees. In addition to our international footprint, we are also part of the Axel Springer SE family and its unique European family of successful companies

We are an international and global employer therefore equal opportunities are important for us. We are looking forward to applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community.

Please let us know, if we e.g. should use a gender neutral pronoun, you need barrier-free access to our offices or we should plan for more time during the application process.

We are always interested in working with great people. Just click the I'm interested button - we look forward to meeting you!

Aufgaben
  • Analyse vast amounts of job ads to understand and leverage trends in the labor market
  • Develop language generation models to help recruiters write better job ads
  • Work closely with other data scientists and engineers to develop and deploy models
  • Consult product owners and help shape the vision of our newest products with machine learning components
  • Explore and leverage new technologies in the field of NLP & NLG
Profil
  • You have a degree in a quantitative discipline such as Mathematics, Applied Statistics, Computer Science, Computational Linguistics etc.
  • At least 2-3 years of experience working with natural language processing (NLP) and especially natural language generation (NLG) tasks
  • Very good programming skills in Python
  • Familiarity with Python libraries that are used for NLP tasks, e.g. Hugging Face, PyTorch, TensorFlow and spaCy
  • Experience with Transformer models, e.g. GPT2 or BART
  • Experience in fine tuning language models, especially in designing training tasks is a plus
  • C1 / C2 level German and English speaking, reading and writing abilities
  • You enjoy working in a collaborative, and agile environment
Your Team
  • You will join an international, cross-functional team of data scientists, data engineers and a product owner located in London, Brussels, Düsseldorf, Vienna and Warsaw
  • We have backgrounds in different quantitative disciplines and we all share one passion: to advance jobTech
  • Become part of our larger, international data science and data engineering community of 50+ people
  • We are highly innovative, with a proven track record of delivery. Important for us are both, to bring ideas to life within a product and the freedom to explore new ideas.
Wir bieten
  • Your start at StepStone: Two days of onboarding with your new colleagues and an individual settling-in period 
  • Individual professional career: We help you reach your goals with a personal career plan and trainings 
  • An attractive location at Düsseldorf's Media Harbour: a light-flooded office, state-of-the-art equipment and a subsidised underground parking space 
  • A Grown-Up company with Start-Up flair: A dynamic workplace with flat hierarchies, direct communication on first name basis from trainee to CEO, short distances, helpful and engaged colleagues and flexible working hours 
  • Stay fit: In-house fitness studio and various gym courses 
  • Avoid long queues at the post office: You can order your parcels directly to the office 
  • Your board is sorted: Free coffee from our in-house barista and fresh fruit
StepStone GmbH | Völklinger Straße 1 | 40219 Düsseldorf

Das klingt nach Dir? Wir sind immer daran interessiert, mit großartigen Menschen zusammenzuarbeiten. Bewirb Dich über den “Ich bin interessiert“ Button und erhalte innerhalb von 5 Tagen eine Rückmeldung, ob wir Dich für den nächsten Prozessschritt berücksichtigen können! Wir freuen uns auf Dich!

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