Offerta di lavoro Data Scientist Advanced EU Bioeconomy - Remoto

Descrizione dell'annuncio di lavoro

DID S.r.l. ricerca un Data Scientist – Advanced per un incarico presso un'Istituzione Europea (unità di ricerca su filiere sostenibili e bioeconomia UE). Di seguito il testo integrale dell'opportunità.

JOB OPPORTUNITY · EU INSTITUTIONS — Data Scientist – Advanced

EU Bioeconomy · Agricultural Data · Multiscale Relational Database

CLIENT: European Institution – research directorate (Sustainable Resources / Bioeconomy)

PROFILE: Data Scientist – Advanced level

WORK MODE: Far-site (remote), occasional on-site presence in Ispra (VA), Italy, on request

CONTRACT: Time & Means, specific contract (may be executed in phases)

EXPERIENCE: Minimum 10 years of IT professional experience

EDUCATION: Master's degree (EQF Level 7) or 5 years of higher education

LANGUAGE: English C1 or higher (spoken and written)

MAX RATE: 300-350 € / day

BACKGROUND & MANDATE

DID S.r.l. is looking for an Advanced Data Scientist for a far-site assignment with a European Institution, within a research unit working on sustainable supply chains and the EU Bioeconomy. The consultant will take charge of the selection, collection, verification and integration of data into a multiscale (EU, Member State, regional) relational database representing the EU Bioeconomy, following a 'societal metabolism' approach to whole social-ecological systems. The role combines data engineering, quantitative analysis, AI-assisted data exploration and science-for-policy communication, in a multicultural and multilingual environment where accuracy, discretion and reproducibility are essential.

MAIN TASKS

• Database architecture: design and evolve the multiscale relational database of the EU Bioeconomy, including interlinkages between European production and consumption systems
• - Agricultural data analysis: identify, collect and prepare EU, international, national, regional and local statistical datasets on the agricultural sector (incl. CAPRI outputs, trade data, time series), with data quality and consistency checks
• - Data integration: integrate agricultural data into the database, ensuring interoperability with datasets from other sectors
• - AI-enabled data access: improve the data exploration interface for scientists and stakeholders, including agentic AI tools to query the database in natural language
• - Scenarios & reporting: contribute to forward-looking scenarios on the EU Bioeconomy and global megatrends; develop and update the "Bioeconomy Bulletin" at Member State level
• - Visualisation & communication: statistical and quantitative analysis, charts, infographics, layouts and presentations for science-for-policy products
• - Stakeholder engagement: take part in workshops and policy events; work with industry, academia and SMEs to collect data, define metrics and deploy data-mining solutions
• - Documentation: technical documentation, training and workshop material, contributions to scientific publications

MANDATORY REQUIREMENTS (declared in the CV and verified during evaluation; offers not meeting these minimum requirements are rejected)

• MuSIASEM (Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism) applied to quantitative assessments: 36 months
• - Python programming: 12 months
• - Web programming: HTML5, CSS3, SASS, JavaScript / ECMAScript 6 with D3.js: 12 months
• - At least one Adobe suite component (InDesign, Acrobat, Illustrator): 6 months
• Assessed through the technical questionnaire (deep knowledge required): European agricultural sector datasets (Eurostat, FAO, CAPRI model outputs, trade data); data analysis & ETL pipelines; data warehouse architecture and dimensional modelling; Power BI and DAX programming language.

TECHNICAL PROFILE

• excellent knowledge of the MuSIASEM approach and of Life Cycle Analysis (LCA) tools and approaches
• - robust experience in cleaning, managing and structuring large datasets; relational databases and structured reference / terminology collections
• - AI technologies for interfacing with databases, data integrity and interoperability checks, iterative incremental model runs
• - statistical analysis and validation methods (hypothesis testing, cross-validation)
• - version control, containerisation and testing practices (Git, GitHub / GitLab) to guarantee reproducible, high-quality code

SOFT SKILLS

• environmental specialist with significant experience in environmental data analysis and mathematical modelling for environmental assessment
• - ability to present complex ideas clearly to any audience and to facilitate multi-stakeholder events
• - problem framing, hypothesis building and solution design; strong commitment to accuracy and integrity
• - team player and autonomous, results-oriented; comfortable in multilingual meetings

WORKING CONDITIONS

• far-site delivery; on-site presence in Ispra only when requested, with at least 14 calendar days' written notice
• - working days between 7:00 and 20:00, with guaranteed availability 9:30-12:00 and 15:00-16:30 (16:00 on Fridays), local time
• - no service on the official holidays of the Institution's Ispra site
• - no security clearance and no certifications required; signature of the Institution's Ethics reminder

SELECTION PROCESS

1. CV in English, clearly showing the months of experience for each mandatory skill.
2. 2. Technical questionnaire: 8 open questions (MuSIASEM, Python, web, Adobe, agricultural datasets, ETL, data warehouse & AI, Power BI/DAX). Minimum score 70% overall. Answers must be written personally: the use of AI tools or any external assistance is strictly forbidden and leads to rejection.
3. 3. Possible remote live interview (Teams / Webex, at least 3 working days' notice). Attendance is mandatory and no external help is allowed.

HOW TO APPLY

Send your updated CV in English to hr@did.srl with subject "Data Scientist Advanced – EU Bioeconomy", stating your availability date and daily rate (max 300 €/day).

All our open positions: jobs.did.srl/opportunities-public

DID S.r.l. · hr@did.srl · jobs.did.srl

Competenze richieste

MANDATORY REQUIREMENTS (declared in the CV and verified during evaluation; offers not meeting these minimum requirements are rejected)

• MuSIASEM (Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism) applied to quantitative assessments: 36 months
• - Python programming: 12 months
• - Web programming: HTML5, CSS3, SASS, JavaScript / ECMAScript 6 with D3.js: 12 months
• - At least one Adobe suite component (InDesign, Acrobat, Illustrator): 6 months
• Assessed through the technical questionnaire (deep knowledge required): European agricultural sector datasets (Eurostat, FAO, CAPRI model outputs, trade data); data analysis & ETL pipelines; data warehouse architecture and dimensional modelling; Power BI and DAX programming language.

TECHNICAL PROFILE

• excellent knowledge of the MuSIASEM approach and of Life Cycle Analysis (LCA) tools and approaches
• - robust experience in cleaning, managing and structuring large datasets; relational databases and structured reference / terminology collections
• - AI technologies for interfacing with databases, data integrity and interoperability checks, iterative incremental model runs
• - statistical analysis and validation methods (hypothesis testing, cross-validation)
• - version control, containerisation and testing practices (Git, GitHub / GitLab) to guarantee reproducible, high-quality code