Senior Data Scientist Public Cloud (Szeged)

Senior Data Scientist Public Cloud (Szeged)
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Senior Data Scientist Public Cloud

As Senior Data Scientist you are responsible for our AI strategy and the planning and implementation of our machine learning projects - especially PoCs.  Together with our architects and offering managers, you will develop concepts for industrial customers using state-of-the-art technologies such as Big Data, Deep Learning or Container Orchestration. In Data Science projects you will lead Data Scientists and Machine Learning Engineers and work in close coordination with stakeholders to ensure successful implementation.

Tasks: 

  • Advising our customers in the application of AI/ML methods to solve industry-specific use cases
  • Conception of AI/ML platforms on public cloud environments for the rapid provision of AI/ML tools in cooperation with our Offering Managers
  • Development of advanced statistical data analysis with data mining methods and learning algorithms
  • You ensure data quality and development of related strategies as well as visualization of data and analysis results
  • You get an overview of current market developments in terms of technologies and customer needs
  • Participation in the identification of new strategic application areas, use cases and products by using innovative analytical methods and technologies
  • Evaluation of costs and efforts to implement customer-specific requirements

If you have…

  • Successfully completed studies or doctorate in the field of economics, computer science, physics, mathematics or engineering
  • Experience in leading expert AI teams
  • Very good knowledge of mathematics, statistics and modern data science methods (e.g. AI, ML), as well as knowledge of economic efficiency considerations and data organization
  • Several years of practical experience as Data Scientist or Machine Learning Expert
  • Extensive experience with functional programming languages, e.g. Python (Python classes, Pandas, Numpy) and well-known AI/ML libraries (e.g. TensorFlow, Scikitlearn, etc.)
  • Knowledge of application development for data transformation with Apache Spark e.g. in Scala or PySpark
  • Experience with machine learning pipelines (e.g. Kubeflow or Apache Beam)
  • Common Big Data platforms such as Hadoop, EMR or HDInsight and their basic functionality are known to you
  • Practical experience with Docker Containers and knowledge of orchestration platforms like Kubernetes or OpenShift
  • Practical experience with tools and services of large cloud providers such as AWS, GCP or MS Azure
  • High social competence as well as distinctive teamwork skills (also in international and virtual teams) in agile cooperation
  • Very good knowledge of German and English, both spoken and written
  • Flexibility and willingness to travel (national) is expected
 
Szeged

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