CMCC Position cod. *****
Climate Services Data Scientist
Deadline: November, 24th, ****
What We Are Looking For
We 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 Us
CMCC 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...Together!
To learn more about this opportunity and submit your application, please refer to the following:
ROLE
This 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.
Responsibilities
The
Climate Services Data Scientist
will support the REMHI Division, with:
Process and integrate Earth Observation, observational, and modelled datasets (NetCDF, GeoTIFF, raster time series) using Python in UNIX/Linux environments
Design reproducible pipelines (xarray, pandas, NumPy; CDO/NCO) with rigorous metadata/versioning (Git) for scalable multi-hazard indicators and services
Publish and catalogue datasets via ERDDAP/GeoServer; expose interoperable services (OGC/API) feeding Dataclime dashboards and external clients
Develop and validate indicators with attention to compound events and uncertainty; contribute to methods and documentation
Co-design indicators, product specs and UX with stakeholders; prepare technical materials and demos for workshops and training
Contribute to deliverables, technical reports and (where relevant) peer-reviewed publications; present results in meetings/conferences
Requirements
M.Sc. (or equivalent) in Earth/Environmental Sciences, Physics, Engineering, Computer Science, or related fields
Strong experience with Python for EO/observational and climate data processing (xarray, pandas, NumPy; Jupyter); familiarity with R is a plus
Proficiency 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 datasets
Experience with ERDDAP/GeoServer (or similar) for data publication; basic web-mapping literacy and API usage
Knowledge of machine-learning methods for image/time-series classification and basic statistics for environmental applications
Excellent teamwork and communication skills in English; Italian fluency is a plus for field/stakeholder interactions
Additional Skills
Experience with compound events, uncertainty quantification and indicator validation
Familiarity with SAR/optical EO processing and cloud EO platforms; containerization (Docker) is a plus
Database literacy (SQL/PostGIS) and API-based data access; CI practices (GitHub Actions)
Experience preparing technical documentation and visual communication of results
Duration, Compensation & Benefits
Please 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 policies
Contract and gross annual salary will be based on qualifications and working experience
Welfare package, for minimum 12 months contract
Flexible working time as per internal policies
Support during the immigration process, if needed
For outstanding profiles, we are also open to tempo parziale arrangements and remote work
PROTECTED CATEGORY
Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition.
Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/**** (for repatriates) or Dl 78/**** (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.