Data Scientist/Engineer

Full timeFULL_TIME, Munich, Germany

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HAWK:AI is currently seeking a Data scientist/engineer in Munich.

Your role

You will help to improve our data analytics pipeline with activities from data wrangling and feature generation to model building and real-time predictions.

Your responsibilities

  • Help setting up a data science infrastructure for real-time money laundering detection. 
  • Play a key role for data engineering pipeline feeding HAWK:AI’s ML engine.
  • Build and integrate state-of-the-art predictive models for money laundering. 
  • Communicate results in a way that convinces existing / potential clients. 
  • Design & implement intuitive visualizations for the UI of HAWK:AI’s platform

Your qualifications 

  • Being passionate for ML and AI; that is obtained via 3+ years working experience
  • Distinctive graduate degree in Computer Science, Mathematics, Physics, Statistics, etc.
  • Excellent understanding and practice of ML technologies for business applications
  • Experience with Deep Learning, Semi/Weakly-Supervised Learning and Time-Series
  • Fluent in Python ML/DL stacks ıncl. PyTorch (or TensorFlow 2.0), Scikit-Learn, NumPy, SciPy, Pandas, Hyperopt, etc; and gradient-boosing tree(s) such as XGBoost/LightGBM
  • Experience in Hadoop-based Big-Data technologies such as PySpark/Flink; as well as SQL/NoSQL databases such as PostgreSQL MongoDB, Cassandra, HBase, etc. 
  • Familiarity with data-visualization libraries such as D3.js, ggplot2, matplotlib, seaborn
  • Fluent in Cloud Platforms such as AWS, Google Cloud Platform, Microsoft Azure, etc; as well as their respective AI platforms like Amazon Sagemaker, Azure ML, etc.
  • Experience in any of the following industries: Banking, Finance, Retail, eCommerce, Fintech

The role is based in Munich. HAWK:AI provides competitive remuneration and benefits. Thank you for considering joining HAWK:AI.

We cannot wait to learn more about you! Please send your application to

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Dingolfinger Str. 15 München 81673 DE Date Posted: 2020-07-01