Senior Data Scientist I (m/f)

PNED G.I.E.· EURES· offentliggjort 16.07.2026
Skal:Data

Description des tâches:

  • Analyse and interpret complex datasets related to mobility, population, and behavioural patterns.
  • Develop and implement quantitative models (e.g. simulation, econometric, or behavioural models).
  • Contribute to the design and implementation of scenario-based analyses (e.g. forecasting, backcasting).
  • Ensure the scientific quality, robustness, and reproducibility of modelling outputs.
  • Produce technical reports, scientific contributions, and presentations for project stakeholders.
  • Participate actively in the MMUST+ consortium, including technical discussions and deliverables.
  • Work with multidisciplinary teams (data scientists, researchers, policy experts).
  • Contribute to the planning and execution of project tasks and milestones.
  • Represent LNDS in selected project meetings and technical exchanges.
  • Act as a reference expert within LNDS, delivering structured knowledge transfer (workshops, documentation, methods) to enable colleagues to understand, reuse, or contribute to MMUST+ modelling approaches.
  • Proactively support capability building, by facilitating onboarding of selected LNDS team members into relevant methodologies, tools, or datasets linked to the project.
  • Where relevant, support other LNDS data projects by providing knowledge from the mobility domain and modelling expertise or analytical input.

Études: Master (Bac+5)