07.04.2026 | Pełny etat | Procter & GambleRisk Office, where a team of experienced Data Scientists analyzes data science implementations for methodology and assumption gaps, identifying risk of algorithms under development, and providing guidelines for closing them. We work across methodologies (e.G. ML, optimization/OR, deep learning, GenAI
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