Senior Data Scientist - Forest Resources & GIS

Ayesa Digital; Varese; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Ayesa Digital is seeking an experienced Data Scientist to join an international team working on European forest-based sector projects. The role involves collecting, managing, analyzing, and visualising complex datasets, and developing analyses and data-driven solutions to support decision-making and research.

The successful candidate will apply GIS, statistical modelling, and data engineering skills to produce actionable insights for policy-oriented initiatives, collaborating with

Competenze

• Master's degree or equivalent in a relevant field.
• 5+ years of professional experience in IT and data-related roles.
• Very good command of English and Italian (minimum B2).

Mansioni

• Analyse datasets related to wood resources and wood-based products across levels.
• Design and maintain analytical databases for forest-based sector research.
• Collect, clean, structure, and prepare heterogeneous data sources.
• Develop and maintain Wood Resource Balance Sheets at EU and Member State level.
• Create Sankey diagrams representing woody biomass flows with automation scripts.
• Perform statistical analyses to support scientific studies and policy initiatives.
• Produce data visualisations and infographics to present findings.
• Develop software tools and reproducible workflows for projects.
• Collaborate with stakeholders to collect data and define analytical requirements.
• Prepare technical reports, training materials, and publications.

Conoscenze

Python

SQL

R

Git

Data visualization

English

Italian

Formazione

Master's degree

Strumenti

ArcGIS

PostgreSQL/PostGIS

e!Sankey

MATLAB/Octave

GIS tools

Descrizione del lavoro

Ayesa Digital is seeking an experienced Data Scientist to join an international team working on European forest-based sector projects. The role involves collecting, managing, analyzing, and visualising complex datasets, and developing analyses and data-driven solutions to support decision-making and research.

The successful candidate will apply GIS, statistical modelling, and data engineering skills to produce actionable insights for policy-oriented initiatives, collaborating with