Data Scientist

24 set - Varese
Ayesa Digital

ppEvery professional in our company is essential. Thanks to their talent, we continue to expand: today, we are a global team of more than 11,000 people working toward a shared mission. /p pAyesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These strategic technological initiatives stand out for their international scope and strong commitment to socially oriented results. /p pWe are looking for an experienced Data Scientist to join an international and multicultural environment supporting scientific and policy-oriented projects related to the European forest-based sector. The successful candidate will contribute to the collection, management, analysis, and visualization of complex datasets, while developing analytical workflows, databases, and data-driven solutions that support strategic decision-making and scientific research. /p pThis role requires a strong background in data science, GIS technologies, forest-based sector data analysis, and quantitative modelling, combined with excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. /p h3Key Responsibilities /h3 ul liAnalyse, validate, and cross-compare European, international, national, regional, and local datasets related to wood resources and wood-based products. /li liDesign, develop, and maintain analytical databases supporting forest-based sector research and assessments. /li liCollect, clean, structure, and prepare data from heterogeneous sources, ensuring data quality and consistency. /li liDevelop and maintain annual Wood Resource Balance Sheets at EU and Member State level. /li liCreate and maintain static and web-based Sankey diagrams representing woody biomass flows, including automation scripts and update processes.



/li liPerform statistical and quantitative analyses to support scientific studies and policy-related initiatives. /li liProduce data visualisations, graphs, charts, infographics, and other communication materials to present analytical findings. /li liDevelop and maintain software tools and reproducible analytical workflows supporting scientific projects. /li liCollaborate with external stakeholders, including industry representatives, academic institutions, and SMEs, to collect data and define analytical requirements. /li liPrepare technical documentation, reports, training materials, workshop content, and contributions to scientific publications. /li liPresent methodologies, results, and limitations clearly to technical and non-technical audiences. /li liWork closely with multidisciplinary teams in a multilingual and international environment. /li /ul h3What We Are Looking For (Requirements): /h3 h3Required Qualifications: /h3 ul liUniversity degree corresponding to EQF Level 7 (Master's degree or equivalent). /li liMinimum 5 years of professional experience in IT and data-related roles. /li liVery good command of English and Italian (minimum B2 level or equivalent), both written and spoken. /li /ul h3Technical Expertise: /h3 ul liMinimum 5 years of experience with Python. /li liMinimum 5 years of experience with PostgreSQL/PostGIS. /li liMinimum 10 years of experience working with GIS technologies and tools. /li liMinimum 5 years of experience using e!Sankey. /li liMinimum 5 years of experience using MATLAB or Octave.



/li liStrong knowledge of ArcGIS, PostgreSQL/PostGIS, and e!Sankey. /li liExtensive experience managing, cleaning, and structuring forest-based sector datasets. /li liExperience working with woody biomass supply and demand flows and wood processing industry technical coefficients. /li liKnowledge of programming languages commonly used in data science, such as Python, R, and SQL. /li liExperience designing and implementing data-driven analytical solutions. /li liKnowledge of data preparation, transformation, and reproducible dataset creation. /li liExperience with analytical data storage and querying technologies. /li liStrong data visualisation capabilities and experience communicating analytical insights. /li liKnowledge of version control and software development best practices, including Git. /li liExperience with Material Flow Analysis methodologies and related visualisation tools /li /ul h3What We Offer: /h3 ul liPrestigious projects within European institutions. /li liInternational, innovative, and multicultural environments. /li liContinuous support from a team of experts in EU projects. /li /ul pIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you! /p pIn accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment. /p /p #J-18808-Ljbffr

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