Data Scientist

Há 3 dias

São Paulo, Brasil Future Secure AI Tempo inteiro

Join to apply for the Data Scientist (JR, SR, STAFF) role at Future Secure AI

5 months ago Be among the first 25 applicants

Join to apply for the Data Scientist (JR, SR, STAFF) role at Future Secure AI

Get AI-powered advice on this job and more exclusive features.

This range is provided by Future Secure AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Habilidades Principais

Análise de Dados

Modelagem Estatística

Machine Learning

Processamento de Linguagem Natural (PLN)

Experiência com GCP

MLOps

Programação em Python

Comunicação com Stakeholders

Trabalho em Equipe

Governança de Dados

Habilidades Desejáveis

Experiência com arquiteturas de modelos baseadas em Transformers

Familiaridade com frameworks de agentes autônomos

Conhecimento em análise de séries temporais

Experiência com outras plataformas de nuvem (AWS, Azure)

Desenvolvimento de APIs para modelos de machine learning

Visualização de dados interativa (Streamlit, Plotly, Dash)

Qualificações

Formação acadêmica relevante: Doutorado ou Mestrado em Ciência de Dados, Matemática, Estatística, Ciência da Computação ou áreas relacionadas

Experiência profissional: 4 anos na indústria

Experiência comercial com técnicas de PLN: LSTM/CNN/Transformers e/ou modelagem tópica

Experiência comercial com GCP: BigQuery, IAM, Cloud Run, frameworks multi-agentes

Experiência em Python e Natural Language Processing: 3-4+ anos

Excelente comunicação com stakeholders

Capacidade de trabalhar bem com feedback aberto

Capacidade de liderar aspectos do desenvolvimento de IA

Capacidade de trabalhar em um ambiente ágil

Desejo de se destacar em cada disciplina

Disponibilidade para trabalhar presencialmente: Avenida Angélica 2350, São Paulo Capital

Desenvolver e implementar modelos de machine learning: Criar modelos que impactem profundamente os produtos e usuários finais.

Analisar grandes conjuntos de dados: Identificar tendências e padrões significativos.

Trabalhar em métricas de qualidade: Avaliar a qualidade das cadeias de saída de LLM.

Planejar e implementar pipelines MLOps: Garantir a qualidade e conformidade dos modelos através de monitoramento contínuo.

Fornecer insights para decisões de longo prazo: Contribuir para a governança de dados e melhores práticas éticas de IA.

Colaborar com engenheiros e stakeholders: Implementar soluções inovadoras em conjunto.

Mentorar cientistas de dados juniores: Orientar e desenvolver a equipe mais jovem.

A vaga aceita trabalho remoto?

Não

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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