Data Scientist

☞ Sansaone

Visualizza: 130

Giorno di aggiornamento: 10-11-2025

Località: Brussels Brussels Capital

Categoria: IT - Software

Industria: Staffing Recruiting

Posizione: Mid-Senior level

Tipo di lavoro: Full-time

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Contenuto del lavoro

Position Title: Data Scientist

Location: Brussels, Belgium

Duration: 6 months with possible extension

Languages: EN + FR or NL

Remote: Hybrid

Job Description:

  • As a part of the ongoing effort to modernize our software application landscape through application lifecycle management and Cloud migration, We faces a significant challenge in both constructing and valorising a comprehensive knowledge base of their internal software.
  • To this end, We invested resources in developing a graph-based approach to knowledge management, resulting in a sizable knowledge graph which describes the structure of their codebase, interactions of various services etc. In effect, a “Digital Twin” of our application environment.
  • Our goal is to exploit advanced graph-based methods (e.g. graph theory, graph learning/mining ...) to extract operationally and strategically valuable information from the knowledge graph.
  • Modernize the application management lifecycle and application migration management. Explore ways the existing knowledge graph can be valorised to reach the objective by leveraging advanced methodologies in graph theory, graph mining and graph learning which go beyond what is generally found in the market as skill level (see below for proposed methods).

Use cases

  • Extracting insights from the knowledge graph which could improve the process of migration wave planning.
  • Using information encoded in the digital twin to help migrate legacy applications to the new infrastructure

Education:

  • You have at least a Master’s degree in a quantitative discipline, such as statistics, mathematics or engineering (a PhD is considered an advantage).
  • Candidates with other academic backgrounds with substantial knowledge of analytics are also encouraged to apply.

Profile looking for:

  • Senior expert in data science with expertise in digital twins and graph based approaches, who will ensure that the appropriate state of the art technology is being used during the mission while supporting the Associate in their daily work

Required Skills:

  • AI - Machine Learning: R/Rstudio, SAS, LLMs, NLP, ASR, Graph learning,
  • Programming languages: Python, Spark, scripts Ansible, SQL, Scala (optional), Kafka, (optional); Flink (optional)
  • Development Tools & Libraries: Conda, GitLab, Jupyter, PyCharm,
  • Deployment tools like Nexus, Kubernetes, Docker, Jenkins, cdd, RA, Fortify, SonarCub
  • Databases: SQL, Neo4j
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Scadenza: 25-12-2025

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