ING

Data Scientist

Job description

We are looking for you if:

  • You want to be part of an international, diverse, dynamic and skilful team of peers
  • You are willing to learn and share knowledge within and across teams
  • You have at least 2 years of experience in the Artificial Intelligence domain or a strongly related area
  • You are an experienced Python programmer familiar with mainstream ML/analytics libraries (e.g. Sklearn, PySpark, NumPy, Pandas)
  • You are knowledgeable about statistical inference (e.g. predictive analytics) and machine learning, for example (un)supervised learning, clustering, regression, classification
  • You have a solid knowledge of Apache Spark and are familiar with Jupyter notebooks (e.g. zeppelin)
  • You are familiar with (or willing to learn) AIOps, CICD, ML pipelines
  • You are familiar with SQL, Linux systems, and command-line interfaces
  • You have some experience with data collection, organisation, and visualisation tools and techniques

Additionally, you will score for:

  • Experience with Big Data,
  • Skills required to develop, implement and continuously improve data pipelines,
  • More than 3 years of experience in the Analytics domain,
  • Practice in multi-national complex projects,
  • Being able to explain complex concepts in simple terms
  • A security background..

Information about squad:

The HUNT team uses state-of-the-art techniques to improve existing monitoring capabilities and monitor new risks on the security landscape. Hunters develop new solutions and test new products to improve detection and aid in analysing security incidents. As a data scientist in our HUNT team, you would be responsible for the entire lifecycle of our analytics models. You will learn and teach, interact with more experienced and junior colleagues, and be part of the data flow design, model selection, optimisation, and finally, deployment of AI-driven models. Those models cover a diverse set of use-cases within the domain of security detection.

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