12796 - Climate Services Data Scientist

CMCC Position cod.*****Climate Services Data ScientistDeadline: November, 24th, ****What We Are Looking ForWe are seeking a Climate Data Scientist to join the Climate Services & DATACLIME (CSD) unit within the Regional Models and Geo-Hydrological Impacts (REMHI) division.The ideal candidate combines strong skills in climate and Earth Observation data processing, observational data integration, GIS, and Python-based workflows on UNIX/Linux.The role contributes to robust, scalable data pipelines and user-centred multi-hazard indicators feeding Dataclime products and decision-support tools for public and private users.About UsCMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers.Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.CMCC's core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes.To achieve climate research objectives at the highest international standards, we invest in training all our talents, and strive to create a workplace where everyone can excel.At CMCC you will find a strong, professional environment.Join an inclusive community that values diversity, where every voice is heard and respected.Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.Over the last decade, CMCC has experienced extraordinary growth.We are now embarking on a new chapter of our journey that will further boost CMCC's global position in climate change research...TogetherTo learn more about this opportunity and submit your application, please refer to the following:ROLEThis role strengthens CSD's capacity to operationalize climate services by building reproducible data pipelines, indicators, and APIs that connect observations, EO products and model outputs to Dataclime.The position will support compound-event analysis, uncertainty-aware indicators, and user-driven dashboards, working closely with Dataclime engineers and REMHI modelling/impact teams.ResponsibilitiesTheClimate Services Data Scientistwill support the REMHI Division, with:Process and integrate Earth Observation, observational, and modelled datasets (NetCDF, GeoTIFF, raster time series) using Python in UNIX/Linux environmentsDesign reproducible pipelines (xarray, pandas, NumPy; CDO/NCO) with rigorous metadata/versioning (Git) for scalable multi-hazard indicators and servicesPublish and catalogue datasets via ERDDAP/GeoServer; expose interoperable services (OGC/API) feeding Dataclime dashboards and external clientsDevelop and validate indicators with attention to compound events and uncertainty; contribute to methods and documentationCo-design indicators, product specs and UX with stakeholders; prepare technical materials and demos for workshops and trainingContribute to deliverables, technical reports and (where relevant) peer-reviewed publications; present results in meetings/conferencesRequirementsM.Sc.(or equivalent) in Earth/Environmental Sciences, Physics, Engineering, Computer Science, or related fieldsStrong experience with Python for EO/observational and climate data processing (xarray, pandas, NumPy; Jupyter); familiarity with R is a plusProficiency with GIS (QGIS/ArcGIS) and spatial analysis; knowledge of formats/standards (NetCDF, GeoTIFF, HDF, CSV time series)Hands-on experience with UNIX/Linux, CDO/NCO, and automated batch processing for large datasetsExperience with ERDDAP/GeoServer (or similar) for data publication; basic web-mapping literacy and API usageKnowledge of machine-learning methods for image/time-series classification and basic statistics for environmental applicationsExcellent teamwork and communication skills in English; Italian fluency is a plus for field/stakeholder interactionsAdditional SkillsExperience with compound events, uncertainty quantification and indicator validationFamiliarity with SAR/optical EO processing and cloud EO platforms; containerization (Docker) is a plusDatabase literacy (SQL/PostGIS) and API-based data access; CI practices (GitHub Actions)Experience preparing technical documentation and visual communication of resultsDuration, Compensation & BenefitsPlease note that this opportunity will be issued both internally and externally.The Researcher will be based in Caserta CMCC office ), with flexible working arrangements according to internal policiesContract and gross annual salary will be based on qualifications and working experienceWelfare package, for minimum 12 months contractFlexible working time as per internal policiesSupport during the immigration process, if neededFor outstanding profiles, we are also open to part-time arrangements and remote workPROTECTED CATEGORYBelonging to legally protected categories (ex L. *****) will constitute a preferential condition.Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs ******** (for repatriates) or Dl ******* (for foreigners).CMCC is an equal-opportunity employer.We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics.Please omit from your CV any data you or we might consider discriminatory.This job announcement is an invitation to express interest in the above-mentioned CMCC Position.