Data Scientist / Data Analyst

Quick Facts

• Role: Data Scientist / Data Analyst
• Focus: European bioeconomy and agricultural-sector data to support public policy analysis and recommendations

Description

You will design and build multi-level relational databases for EU, national, and regional data, and lead data acquisition, integration, processing, and quality controls. You will analyze agricultural and bioeconomy datasets, develop ETL pipelines, and create AI/data-exploration tools alongside reporting and visualization deliverables for stakeholders.

Responsibilities

• Design and develop a multi-level relational database covering EU, national, and regional data
• Source, integrate, and process data from European and international statistical sources
• Create and maintain ETL processes and data quality control procedures
• Perform analysis of the agricultural sector and bioeconomy; prepare business and scientific conclusions
• Collaborate with experts, scientists, public administration representatives, and external partners
• Develop data exploration tools and solutions leveraging artificial intelligence
• Produce reports, dashboards, visualizations, and presentation materials
• Create technical documentation and training materials
• Participate in workshops and events on data-driven decision-making

Requirements

• Higher education (Master’s or Bachelor’s/Engineering) with relevant professional experience
• Minimum 3 years using MuSIASEM methodology and Life Cycle Assessment (LCA) tools
• Minimum 1 year of commercial Python programming
• Minimum 1 year experience with web technologies: HTML5, CSS3, JavaScript (ES6), D3.js
• Experience with ETL processes, data integration, and data modeling
• Very good Power BI and DAX
• Very good Git and code versioning/quality best practices
• Experience with data analysis and statistical methods
• Knowledge of European agricultural-sector databases (e.g., Eurostat, FAO or similar)
• Very good English (min. C1)

Benefits

Opportunity to work on an international, Europe-wide public-sector project using data and AI to support public policy.