DATA SCIENTIST (Varese)

DATA SCIENTIST (Varese)

14 set
|
Ayesa Digital
|
Varese

14 set

Ayesa Digital

Varese

pAt Ayesa Digital, we grow with you. /ppbr/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. /ppbr/ppAyesa 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. /ppbr/ppWe are looking for an experienced bData Scientist /b 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. /ppThis 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. /ppbr/ppbKey Responsibilities /b /ppbr/pulliAnalyse, validate, and cross-compare European, international, national, regional, and local datasets related to wood resources and wood-based products. /liliDesign, develop, and maintain analytical databases supporting forest-based sector research and assessments. /liliCollect, clean, structure, and prepare data from heterogeneous sources, ensuring data quality and consistency. /liliDevelop and maintain annual Wood Resource Balance Sheets at EU and Member State level. /liliCreate and maintain static and web-based Sankey diagrams representing woody biomass flows, including automation scripts and update processes.



/liliPerform statistical and quantitative analyses to support scientific studies and policy-related initiatives. /liliProduce data visualisations, graphs, charts, infographics, and other communication materials to present analytical findings. /liliDevelop and maintain software tools and reproducible analytical workflows supporting scientific projects. /liliCollaborate with external stakeholders, including industry representatives, academic institutions, and SMEs, to collect data and define analytical requirements. /liliPrepare technical documentation, reports, training materials, workshop content, and contributions to scientific publications. /liliPresent methodologies, results, and limitations clearly to technical and non-technical audiences. /liliWork closely with multidisciplinary teams in a multilingual and international environment. /li /ulpbr/ppbWhat We Are Looking For (Requirements): /b /ppbr/ppRequired Qualifications: /pulliUniversity degree corresponding to EQF Level 7 (Master's degree or equivalent). /liliMinimum 5 years of professional experience in IT and data-related roles. /liliVery good command of English and Italian (minimum B2 level or equivalent), both written and spoken. /li /ulpbr/ppTechnical Expertise: /pulliMinimum 5 years of experience with bPython /b. /liliMinimum 5 years of experience with bPostgreSQL/PostGIS /b. /liliMinimum 10 years of experience working with bGIS technologies and tools /b. /liliMinimum 5 years of experience using be!Sankey /b. /liliMinimum 5 years of experience using bMATLAB /b or bOctave /b.



/liliStrong knowledge of bArcGIS /b, PostgreSQL/PostGIS, and e!Sankey. /liliExtensive experience managing, cleaning, and structuring forest-based sector datasets. /liliExperience working with woody biomass supply and demand flows and wood processing industry technical coefficients. /liliKnowledge of programming languages commonly used in data science, such as Python, R, and SQL. /liliExperience designing and implementing data-driven analytical solutions. /liliKnowledge of data preparation, transformation, and reproducible dataset creation. /liliExperience with analytical data storage and querying technologies. /liliStrong data visualisation capabilities and experience communicating analytical insights. /liliKnowledge of version control and software development best practices, including Git. /liliExperience with Material Flow Analysis methodologies and related visualisation tools /li /ulpbr/ppbWhat We Offer: /b /pulliPrestigious projects within European institutions. /liliInternational, innovative, and multicultural environments. /liliCompensation between 85-90% rate. /liliContinuous support from a team of experts in EU projects. /li /ulpbr/ppIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, bthis is the place for you! /b /ppbr/ppbr/ppbr/ppIn 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

📌 DATA SCIENTIST (Varese)
🏢 Ayesa Digital
📍 Varese

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