Quick answers for candidates and hiring teams reviewing this listing.
You focus on geospatial features, land-use and risk signals, and reproducible ETL from GIS sources—not generic tabular ML. You partner with ML engineers on model handoff and with domain experts on label quality.
Bring 1–2 shipped geo ML projects: map-based evaluation, leakage controls across tiles, and business metrics (precision/recall by region). Notebooks alone are weaker than production or strong offline benchmarks tied to a decision.
Yes—the listing targets Lyon with hybrid workplace. Confirm on-site cadence and travel to Paris or clients when you interview.
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Senior Geospatial Data Scientist
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