Vaga: Vaga de Analista Desenvolvedor em Carapicuiba/SP - home office
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Cargo/Função: Analista Desenvolvedor
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Localização: Carapicuiba / SP
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Salário: a combinar
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Empresa: Confidencial O que é isso?
Compartilhar Vaga
Home Office
Descrição Geral
Empresa localizada na cidade de Carapicuíba/SP do ramo Informática, contrata Analista Desenvolvedor.
Atribuições
At fintech company (permanent), in portugalsalary: 30.000 - 50.000expires at:(Informação Confidencial)remote policy: full remotewe are cutting-Edge fintech company that revolutionizes financial management. Our innovative platform combines advanced technology with personalized financial insights, empowering individuals and businesses to make informed decisions, optimize investments, and achieve their financial goals. With secure data analytics and seamless user experiences, we bring simplicity and efficiency to the world of finance, empowering you to navigate the complexities of the financial landscape with a data scientist, you will play a pivotal role in analyzing complex financial data, developing predictive models, and contributing to data-Driven decision-Making. Our company fosters a collaborative and innovative environment, where your expertise will drive meaningful impacts on our cutting-Edge financial design and implement machine learning models, algorithms, and statistical analyses to extract insights from complex data pipelines and automated processes for data collection, cleaning, preprocessing, and exploratory data analysis and generate visualizations to communicate findings predictive models and perform advanced statistical analysis to support decision-Making a/b testing and other experiments to evaluate model performance and validate up-To-Date with the latest industry trends, techniques, and tools in data science and machine findings and insights to both technical and non-Technical stakeholders through clear and concise reports, presentations, and to the development and improvement of our data infrastructure, ensuring scalability, reliability, and requirementsminimum of 2 years of professional experience as a data scientistproficiency in programming languages such as python or r for data manipulation, analysis, and understanding of machine learning algorithms, statistical modeling, and data analysis with data visualization tools (e.G., matplotlib, seab
Tipo de Vínculo
Efetivo - Home Office.
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