Data Scientist

3 meses atrás

São Paulo, Brasil Bipa Tempo inteiro
O que estamos procurando:

Buscamos um Senior Data Scientist experiente e apaixonado por transformar dados complexos em insights acionáveis. O candidato ideal combinará expertise técnica em ciência de dados com uma compreensão profunda do setor financeiro e de criptomoedas. Você desempenhará um papel crucial na otimização de nossos produtos, na melhoria da experiência do cliente e no direcionamento do crescimento do negócio através de análises avançadas e modelagem preditiva.

Principais responsabilidades:
  • Liderar projetos de ciência de dados end-to-end, desde a concepção até a implementação e monitoramento;
  • Desenvolver modelos preditivos e algoritmos de machine learning para otimizar processos de negócio, detecção de fraudes e personalização de produtos;
  • Analisar grandes volumes de dados transacionais e comportamentais para extrair insights valiosos sobre os clientes e o mercado;
  • Criar dashboards e visualizações de dados para comunicar insights de forma eficaz para stakeholders não técnicos;
  • Colaborar com equipes de produto, marketing e risco para implementar soluções baseadas em dados;
  • Desenvolver e manter pipelines de dados robustos e escaláveis;
  • Implementar técnicas avançadas de análise estatística para identificar tendências e padrões no mercado de criptomoedas;
  • Liderar iniciativas de experimentação A/B para otimizar funcionalidades do produto e campanhas de marketing;
  • Mentorar cientistas de dados juniores e promover uma cultura de excelência analítica na empresa;
  • Manter-se atualizado sobre as últimas tendências e técnicas em ciência de dados, machine learning e IA;
  • Contribuir para a estratégia de dados da empresa, identificando oportunidades de uso inovador de dados e analytics.
Qualificações:
  • Mestrado ou Doutorado em Ciência da Computação, Estatística, Matemática ou campo relacionado;
  • Mínimo de 5 anos de experiência em ciência de dados, com pelo menos 2 anos em posição sênior, preferencialmente no setor financeiro ou de tecnologia;
  • Proficiência avançada em Python ou R, e familiaridade com ferramentas de big data como Spark, Hadoop;
  • Experiência sólida com técnicas de machine learning, deep learning e análise estatística;
  • Conhecimento prático de SQL e bancos de dados NoSQL;
  • Experiência com ferramentas de visualização de dados como Tableau, PowerBI ou similares;
  • Forte compreensão de metodologias ágeis e experiência em trabalhar em sprints de produto;
  • Excelentes habilidades de comunicação, capaz de traduzir análises complexas em insights acionáveis para stakeholders não técnicos;
  • Experiência em implementação de soluções de ML em ambientes de produção;
  • Conhecimento de práticas de DevOps e MLOps é um diferencial;
  • Familiaridade com cloud computing (AWS, GCP ou Azure);
  • Compreensão do mercado de Bitcoin e tecnologias financeiras é um forte diferencial;
  • Histórico comprovado de publicações ou apresentações em conferências de ciência de dados será valorizado;
  • Inglês fluente para acompanhamento de literatura técnica.

Benefícios:   🏥 Plano de Saúde 💉Plano Odontológico 🍽️ Vale-refeição CAJU 💻 Auxílio Home Office 📈 Stock options desde o dia zero.

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