Advanced Data Scientist

Altia; Ispra; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote work

Flexible working hours

Long-term stable position

Job summary

ALTIA is seeking an Advanced Data Scientist & Remote Sensing AI Engineer to join our team supporting international research and decision-support platforms for wildfire monitoring and risk assessment. The role focuses on integrating Earth observation data with meteorological feeds, developing burnt-area mapping workflows, and modeling wildfire risk across European biomes.

The candidate will prototype geospatial algorithms, validate DL models, and contribute to cloud-native geospatial processing

Qualifications

• EQF Level 7 and minimum 5 years of general IT experience.
• Minimum 10 years of experience as a Data Scientist with remote-sensing and Earth observation in wildfires.
• Minimum 5 years as AI/ML Engineer in wildfire context.
• Minimum 5 years as Data Analyst in wildfire context.
• Minimum 5 years as GIS Specialist (vector data, OSM, GDAL) for wildfire monitoring.
• Minimum 2 years as Data Architect with HPC representations for AI.
• Minimum 2 years as Database Engineer for analysis and performance optimization.
• Minimum 2 years as Full-Stack Software Engineer and Cloud Solutions Architect in wildfire contexts.

Responsibilities

• Develop, calibrate, and validate automated high-resolution burnt-area mapping workflows.
• Build pan-European wildfire risk models and wildfire behavior/spread simulations.
• Prototype, benchmark, and validate cutting-edge geospatial algorithms and DL models.
• Contribute to big data cloud solutions and HPC data representations for AI.
• Support full-stack portal components and decision-support tools in wildfire contexts.

Skills

Python

GDAL

OSM

Geospatial analytics

ML/DL frameworks

HPC

Cloud platforms

Full-stack development

Education

M.Sc. HPC / Info Theory / Security

Tools

Open GIS stack

Cloud computing tools

Job description

#WEAREALTIA

ALTIA is a multidisciplinary team focused on delivering advanced data-driven solutions that generate measurable impact and enable smarter decision‑making. Working across international environments, we combine analytics, artificial intelligence, and business expertise to transform data into strategic value. Our mission is to help organizations evolve through innovation, scalable data platforms, and high-quality analytical solutions, fostering continuous learning, collaboration, and technological excellence.

We are looking for an Advanced Data Scientist & Remote Sensing AI Engineer with high‑level expertise in Earth observation (EO), geospatial big data, cloud/HPC architectures, and Machine Learning / Deep Learning for wildfire monitoring and risk assessment to join our team in supporting international research and decision‑support platforms (such as EFFIS and GWIS).

The role involves the spatial, temporal, and statistical integration of Earth observation data, meteorological feeds, and environmental streams with internal wildfire databases. The specialist will lead the development, calibration, and validation of automated high-resolution burnt‑area mapping workflows, pan-European wildfire risk models, and wildfire behavior/spread simulations across diverse biomes. Additionally, the candidate will contribute to big data cloud solutions, HPC data representations for AI, database optimization, full‑stack website/portal components, decision‑support tools, and global fire polygon datasets.

In close collaboration with multidisciplinary teams of scientists, engineers, and policy leads, the specialist will prototype, benchmark, and validate cutting‑edge geospatial algorithms and deep learning models. The position requires strong proficiency in Python, open‑source GIS tools (GDAL, OSM, spatial statistics), ML/DL frameworks, and cloud‑native geospatial processing environments.

WHAT WE HAVE FOR YOU?

• Remote work model (with occasional on‑site presence in Ispra, Italy, if required).
• Flexible working hours.
• Long‑term stable position in a highly specialized, world‑class scientific environment.
• Continuous learning and upskilling in cutting‑edge Earth observation, HPC/AI representations, Deep Learning, and disaster management systems.
• Integration into an experienced, collaborative, and multicultural scientific team.
• Participation in high‑impact international digital and environmental intelligence projects.
• Inclusive and innovation‑driven work environment.

REQUIREMENTS:

Educational level & Experience:

• EQF Level 7 (Master's degree or 5 years of higher education) + minimum 5 years of general IT experience.
• Minimum 10 years of experience as a Data Scientist working with remote‑sensing and Earth observation products in the context of wildfires.
• Minimum 5 years of experience as an AI / Machine Learning Engineer in the context of wildfires.
• Minimum 5 years of experience as a Data Analyst in the same context.
• Minimum 5 years of experience as a GIS Specialist (vector data, OSM, GDAL) for wildfire monitoring.
• Minimum 2 years of experience as a Data Architect, including data representations in HPC for AI.
• Minimum 2 years of experience as a Database Engineer (analysis and performance optimization).
• Minimum 2 years of experience as a Full‑Stack Software Engineer and experience as a Cloud Solutions Architect in wildfire contexts.

Languages:

• Minimum B2 level in English AND Italian (spoken and written).

TECHNICAL & FUNCTIONAL EXPERIENCE:

• Remote Sensing & Earth Observation: Medium‑and high‑resolution optical/radar satellite sensors, multitemporal/multisource geospatial data fusion (meteorological, environmental, EO).
• AI & Deep Learning: Traditional supervised ML, Deep Learning (neural networks, CNNs/transformers for EO), burnt‑area mapping, feature extraction, model calibration, and validation.
• Wildfire Modeling & Analytics: Wildfire behavior/spread modeling across European biomes, pan‑European wildfire risk assessment frameworks, global fire polygon generation, and decision‑support systems.
• Geospatial Big Data & HPC: Open GIS tools, GDAL, spatial statistics, HPC data representations for AI, cloud computing, and big data pipeline optimization.
• Systems & Web Engineering: Full‑stack development, portal editing/maintenance, database optimization, and cloud architecture for geospatial AI workloads.

TECHNOLOGIES & SKILLS:

• Programming & Geospatial: Python, GDAL, Open Street Map (OSM), open GIS stack, spatial statistics tools.
• AI & Cloud: Machine Learning, Deep Learning frameworks, HPC representations, Big Data Cloud platforms.
• Web & Databases: Full‑stack web development technologies, relational database optimization, and data architecture frameworks.
• Soft Skills: Strong scientific/technical communication for non‑technical stakeholders, out‑of‑the‑box problem‑solving, capability to manage parallel priorities, and ability to thrive in multidisciplinary research teams.

CERTIFICATIONS / QUALIFICATIONS (Required or Demonstrable Equivalent):

• M.Sc. or certified training in High‑Performance Computing (HPC), Information Theory, and Security (or equivalent).
• Certifications or training in Deep Learning, Artificial Intelligence, Neural Networks, Cloud AI platforms, and Disaster Management.

This job offer has been drafted taking into account impartiality and non-discrimination based on gender, race, ideology, or any other reason, in accordance with applicable equality regulations.