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Data Scientist (80-100%, all genders) - Hybrid Work
You are a digital pioneer? Ask yourself, “What would I do differently if I could change it?” Let’s turn your ideas into reality. Join a dynamic team of digital enthusiasts and professionals and be part of the creative and vibrant team spirit. Become part of the Lufthansa Group Digital Hangar in Frankfurt am Main.
Facts
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Location
Frankfurt / Main
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Employment level
Direct entry
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Function
IT
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Working time
Full-time or part-time
As a DATA SCIENTIST, I am a key player in delivering real impact in digitizing the travel many of numerous clients of the Lufthansa Group. I develop cloud-based data products for our Feature Teams and steer them towards optimal solutions to develop the next era of digitally enhanced travelling.
- I will collaborate with data engineers to ensure robust data pipelines for ML models
- I will provide and generate new insights from complex data sets by applying advanced analytical methods to lift the digital customer experience to the next level
- I will research and experiment with new new ML/GenAI models for business applications.
- I collaborate with the Digital Hangar product teams to identify possibilities for improvement and adaptions regarding their digital products
- I will design, implement, and maintain MLOps pipelines on Azure Machine Learning for model training, validation, deployment, and monitoring.
- I will automate ML workflows using Azure ML, CI/CD pipelines (Azure DevOps), and Docker/Kubernetes.
Company bonus (if applicable), Free parking, Flight privileges, Canteen (subsidized by employer), Jobticket / Subsidized public transport, Business cell phone / ipad, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Part-time models, Hybrid working possible, Flexible working hours, Development programs / Training opportunities, Mentoring, Fitness studio / sports facilities / company football etc., Free snacks / drinks
- I have at least 3 years of experience in Data Science & MLOps, preferably in a production environment
- In-depth knowledge of statistical analysis and machine learning methods, including hands-on experience
- Hands-on experience with SQL, Python and relevant data science libraries ( SciKit-Learn, PyTorch, PySpark. etc.) as well as model deployment strategies (APIs, batch scoring, serverless ML, etc.).
- Ambition to master and not being intimidated by unstructured data and large datasets
- Willingness to expand my comfort zone by sometimes leaving it
- Very good command of English language
Creating the world’s best connected travel experience – physical, human, and digital – for all Lufthansa Group airline brands is our goal. We’re committed to driving the digital transformation and becoming leaders and innovators in developing next-level digital solutions for the airline industry. We operate with 100% focus on delivering tangible value-adding solutions and develop best-in-class features for over 145 million passengers that travel on our 5 airline brands every year.
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