Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Entendimento do problema de negócio e definição de hipóteses.
- Exploração e tratamento de dados (limpeza, feature engineering, imputação, normalização).
- Construção e manutenção de modelos estatísticos e de machine learning (classificação, regressão, séries temporais, clustering, redes neurais etc.).
- Avaliação, validação e tuning de modelos (cross-validation, hyperparameter tuning).
- Deploy de modelos para ambiente de produção, monitoramento e ajuste (monitorar drift, recalibrar).
- Documentar metodologia, explicar resultados e gerar apresentações com insights interpretáveis.
- Colaborar com engenharia de dados para viabilizar pipelines escaláveis.
- Garantir que os modelos estejam em conformidade com requisitos de privacidade e segurança de dados médicos.
Requirements
- Mínimo de 5 a 8 anos de experiência em ciência de dados
- Competência em Python / R e bibliotecas de ML/Deep Learning (scikit-learn, TensorFlow, PyTorch etc.)
- Experiência com pipelines de ML (MLflow, Kubeflow etc.)
- Experiência com ambientes Cloud
- Forte capacidade analítica, estatística, interpretação de dados e comunicação de resultados
- Inglês fluente
- Habilidades para trabalhar com times multidisciplinares (produto, TI, estratégia)
- Formação superior em Estatística, Engenharia, Economia, Ciência de Dados, Sistemas ou áreas similares
- Conhecimento em compliance com LGPD, ética e privacidade de dados de saúde
Job title
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