Data Scientist

Expert knowledge in: o Python (and data wrangling libraries like Pandas). o SQL (Postgres, Hive, SparkSQL). o Data analysis.

• Solid knowledge & experience in: o Cloud: Azure stack, Databricks, ADF, API’s. o Big Data: Hadoop, Spark, Hive, HDFS. o Software engineering: Linux, GIT, JIRA. o Risk assessment on privacy flaws in data and understanding and caring about the privacy rules and legislation, internal and external.

• Nice to have knowledge & experience in: o Mobile networks or telecom. o Geo-Spatial Analytics: QGIS, Postgis, geo Python libraries. o Visualisation tools: viz Python libraries or dashboarding software like Cumul.io or PowerBI. o Experience with the Airflow scheduling software. o Machine Learning capabilities (we currently have use cases in anomaly detection and clustering).

• You have a good mix of technical / IT skills (to dig into large volumes of (un)structured data) and business skills (to understand the requirements of marketing, product management, strategy). You can bridge data, technology and business questions.

• You love researching, measuring, analysing and quantifying things. You spontaneously look for patterns in data. You like precision but you are not afraid to make an educated guess.

• You are good at visualizing data and making impactful presentations. You can easily express your ideas in writing or in meetings, also to non-data experts.

• You are a team player and you stay cool under pressure in peak times.
• You allocate your time efficiently and can manage several projects in parallel.
• You are fluent in English and either French or Dutch.