12796 - Climate Services Data Scientist

CMCC Position cod. 12796

Climate Services Data Scientist

Deadline: November, 24th, 2025

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 part-time 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 147/2015 (for repatriates) or Dl 78/2010 (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.

Applicants responding to this posting declare that they have read, understood and agreed to the "Official Rule for the CMCC Personnel recruitment".

We will keep your information on file for up to 1 year.

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