Contato
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01/09/2021 | 1 Vaga
Descrição
Responsibilities
• Explore our data universe and suggest meaningful analysis and changes
• Take ownership of the data model and propose consolidation, transformation and changes to it
• Help structure plans to organize enterprise data.
• Design and execute experiments, collect and analyze data to characterize our product
• Architect, develop and deploy machine learning systems to production
• Design and implement metrics that align with company goals
• Analyze a wide variety of data: structured and unstructured, observational and experimental
• Advise engineering and product teams on sound statistical practices
Requirements
• Undergrad in Computer Science, Engineering, Statistics, or other relevant technical field
• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Familiarity with machine learning concepts: regression and classification, clustering, feature selection, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.
• Expert knowledge of a statistical scripting language such as R or Python/pandas
• Decent knowledge of a mainstream scripting (or shell scripting) language (e.g. JavaScript, Python, sh, Perl, PHP...)
• Excellent written and verbal technical communication skills.
• Explore our data universe and suggest meaningful analysis and changes
• Take ownership of the data model and propose consolidation, transformation and changes to it
• Help structure plans to organize enterprise data.
• Design and execute experiments, collect and analyze data to characterize our product
• Architect, develop and deploy machine learning systems to production
• Design and implement metrics that align with company goals
• Analyze a wide variety of data: structured and unstructured, observational and experimental
• Advise engineering and product teams on sound statistical practices
Requirements
• Undergrad in Computer Science, Engineering, Statistics, or other relevant technical field
• Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
• Familiarity with machine learning concepts: regression and classification, clustering, feature selection, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.
• Expert knowledge of a statistical scripting language such as R or Python/pandas
• Decent knowledge of a mainstream scripting (or shell scripting) language (e.g. JavaScript, Python, sh, Perl, PHP...)
• Excellent written and verbal technical communication skills.
Requisitos
Área: Dados
Plataforma: Python
Especialidade: Big Data
Nível: Pleno
Inglês Desejável.
Contratação CLT.
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