Descrição de Vaga



Código: 5984
Título da vaga: Data Engineer (with Python)-
Local: São Paulo,São Paulo
Região: Outra
Tipo de emprego: PJ
Nível Profissional:
NÍvel Acadêmico: Ensino Médio Completo
Turno/Horas:
Habilidades: • Partner with business to understand and evaluate business questions and propose executable solutions using advanced data analytics capabilities and innovative visualizations with aim of turning data into actionable insights.  
• Provides thought leadership for complex business problems that require a scientific approach by leveraging in-depth domain expertise and skills acquired in computational and Data Science specific programs or related fields. 
• Designs experiments to test generated hypotheses to provide business insights
• Apply advanced analytics such as machine learning and artificial intelligence  for signal detection, pattern recognition, computational learning, cognitive and predictive decision support algorithms to solve complex problems
• Integrate and leverage data for analytics from a variety of data sources including structured, unstructured, voice, image, video and streaming data
• Application of semantic web technology to link and query large disparate data sources Leverage capabilities in text analytics including natural language processing and sentiment analysis to extract information and insights from text at scale
• Expertise in domain specific data sets like RWE, Patient level data, therapeutic biomarker and omics data. 
• Apply in-depth knowledge of scientific and ontology based data integration and mapping.
• Ongoing reevaluation of business questions driven by data and results of analysis
• Identify new analytics opportunities
• Provides leadership for Advanced Analytics, aligned with other sectors and industry
+ Python experience
Categoria:
Remuneração Básica: -   - 
Benefícios: 0
Resumo da Vaga: • Partner with business to understand and evaluate business questions and propose executable solutions using advanced data analytics capabilities and innovative visualizations with aim of turning data into actionable insights.  
• Provides thought leadership for complex business problems that require a scientific approach by leveraging in-depth domain expertise and skills acquired in computational and Data Science specific programs or related fields. 
• Designs experiments to test generated hypotheses to provide business insights
• Apply advanced analytics such as machine learning and artificial intelligence  for signal detection, pattern recognition, computational learning, cognitive and predictive decision support algorithms to solve complex problems
• Integrate and leverage data for analytics from a variety of data sources including structured, unstructured, voice, image, video and streaming data
• Application of semantic web technology to link and query large disparate data sources Leverage capabilities in text analytics including natural language processing and sentiment analysis to extract information and insights from text at scale
• Expertise in domain specific data sets like RWE, Patient level data, therapeutic biomarker and omics data. 
• Apply in-depth knowledge of scientific and ontology based data integration and mapping.
• Ongoing reevaluation of business questions driven by data and results of analysis
• Identify new analytics opportunities
• Provides leadership for Advanced Analytics, aligned with other sectors and industry
+ Python experience


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