Cientista de Dados Especialista - Busca

Requisitos

• Advanced statistical and predictive modeling (supervised and unsupervised) with strong methodological judgment
• Hands-on experience with quasi-experimental causal inference methods (diff-in-diff, propensity score, instrumental variables, synthetic c..
• Track record defining OECs/KPIs that capture real phenomena and replacing misleading proxy metrics
• Built AI/GenAI-powered workflows adopted by team and organization
• Bridging Data Science and Engineering: patterns for code quality, reproducibility and production-readiness

Desejáveis

• Prior experience with large-scale search or recommendation systems: query understanding, reranking, relevance metrics (NDCG, MRR, Recall@K)
• Applied use of modern embedding models (e.g
• Sentence-Transformers or similar architectures)
• Practical experience with distributed data pipelines and MLOps tools (MLflow, Databricks) for deploy and versioning
• Advanced English for technical literature and documentation
• Cross-company analytical impact with capabilities consumed by multiple domains