Data Scientist (Architect)
George Bernard Consulting · Remoto · Sri Lanka (TZ: 5.5)
Recebendo candidaturas · conferida em 04/10
Ficha da vaga
- Modelo
- Remoto
- Onde aceita
- Não informado
- Senioridade
- Sênior
- Salário
- Salário não divulgado
Fonte: Himalayas · Ver vaga original →
- python
- data visualization
- mentoring
Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.
Sobre a vaga
George Bernard Consulting is seeking a Data Scientist (Architect) to lead the design, development, and deployment of AI/ML models and data pipelines for enterprise-scale business use cases.
O que você vai fazer
- Lead the design, development, and deployment of AI/ML models for complex business use cases.
- Architect solutions involving unstructured data, including text, images, logs, and documents.
- Build large-scale data pipelines using Python, PySpark, or Scala.
- Drive machine learning lifecycle processes: data preparation, feature engineering, model selection, training, validation, and monitoring.
- Create BI dashboards and data visualizations to communicate insights to leadership and stakeholders.
O que pedem
- Minimum 10+ years of total IT experience.
- Minimum 5+ years of hands-on expertise in the following (must-have): AI/ML algorithm development, Unstructured data processing, Python with PySpark or Scala, Machine Learning engineering, BI Reporting / Dashboard Development
- Strong background in data modeling, statistical analysis, and MLOps concepts.
- Experience architecting end-to-end data science solutions at enterprise scale.
Descrição completa da vaga
Job Description Lead the design, development, and deployment of AI/ML models for complex business use cases.
Architect solutions involving unstructured data, including text, images, logs, and documents.
Build large-scale data pipelines using Python, PySpark, or Scala.
Drive machine learning lifecycle processes: data preparation, feature engineering, model selection, training, validation, and monitoring.
Create BI dashboards and data visualizations to communicate insights to leadership and stakeholders.
Work closely with engineering teams to operationalize models in production environments.
Provide technical leadership and mentorship to data science teams.
Ensure solutions are scalable, secure, and aligned with enterprise data architecture standards.
Explore new techniques, tools, and frameworks to enhance analytics capabilities
Requirements Minimum 10+ years of total IT experience.
Minimum 5+ years of hands-on expertise in the following (must-have): AI/ML algorithm development , Unstructured data processing , Python with PySpark or Scala , Machine Learning engineering , BI Reporting / Dashboard Development
Strong background in data modeling, statistical analysis, and MLOps concepts.
Experience architecting end-to-end data science solutions at enterprise scale.
Nice-to-Have Skills Experience with Azure cloud services (Azure ML, Data Factory, Databricks, Synapse, etc.).
Knowledge of big data platforms and distributed computing.
Understanding of NLP, deep learning, or advanced analytics techniques.
Exposure to CI/CD, model versioning, and automated ML pipelines
Originally posted on Himalayas
Perguntas e respostas sobre a vaga
- Aceita candidatos de onde?
- A vaga não diz.
- Qual o regime de contratação?
- A vaga não diz.
- É remota?
- Sim, é remota.
- Informa salário?
- Não, a vaga não divulga.
Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.
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