03 ott - Italia
Randstad Digital
Our client is seeking a Senior Data Scientist to spearhead the pre-operational workflow for our global coastal ocean modeling system. In this fully remote role, you will bridge the gap between cutting-edge AI/ML, petabyte-scale data infrastructure, and EuroHPC supercomputers—delivering data-driven insights that safeguard coastal communities and advance global ocean science.
What You Will Do
- Build Next-Gen Geospatial Workflows: Engineer open-source, reproducible global coastline datasets from OpenStreetMap (OSM) and create automated, data-driven unstructured mesh generation models using tools like Gmsh.
- Supercharge HPC & Cloud Architecture: Transition legacy HPC workflows from Microsoft Azure to EuroHPC systems. Create portable containerized execution pipelines with Apptainer/Singularity.
- Manage & Analyze Petabyte-Scale Datasets: Design scalable pipelines for heterogeneous data, including raw tide-gauge observations, ARGO floats, DEMs, and L3/L4 satellite products.
- Leverage AI/ML for Quality Control: Implement automated, machine learning-assisted (scikit-learn, PyTorch,
XGBoost) quality control and anomaly detection frameworks across multi-terabyte datasets.
- Optimize Global Ocean Simulations: Fine-tune, calibrate, and scale hydrodynamic simulations using SCHISM and TELEMAC, solving performance bottlenecks with parallel processing (MPI / OpenMP).
- Innovate High-Performance Visualizations: Develop bespoke analytics and visualization pipelines (PyVista, ParaView, Datashader) capable of processing massive unstructured meshes that exceed memory limits.
Who You Are
You are a seasoned technical leader who thrives on complex computational puzzles, cleanly structured open-source code, and large-scale geospatial pipelines.
Qualifications & Essential Experience
- Education: University degree corresponding to EQF Level 7 (Master’s degree or 5+ years of higher education).
- Experience: Minimum of 10 years of professional IT experience, including:
- Python programmi
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