You want to be part of an international, diverse, dynamic and skilful team of peers
You have basic knowledge in the Artificial Intelligence domain
You are familiar with Python and ML/analytics libraries (e.g. Sklearn, PySpark, NumPy, Pandas)
You have basic knowledge in statistical inference (e.g. predictive analytics) and machine learning, for example (un)supervised learning, clustering, regression, classification
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.
You have some knowledge of Apache Spark and Jupyter notebooks (e.g. zeppelin)
You are familiar with (or willing to learn) AIOps, CICD, ML pipelines
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.