Qintess
Enterprise • Artificial Intelligence • B2B
Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.
1001 - 5000 employees
Founded 2019
🏢 Enterprise
🤖 Artificial Intelligence
🤝 B2B
Cientista de Dados, Machine Learning
Job not on LinkedIn
October 17
🗣️🇧🇷🇵🇹 Portuguese Required
Qintess
Enterprise • Artificial Intelligence • B2B
Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.
1001 - 5000 employees
Founded 2019
🏢 Enterprise
🤖 Artificial Intelligence
🤝 B2B
📋 Description
• Acreditamos que a inovação é, antes de tudo, uma atitude. • Decidir, surpreender, testar e implantar novas realidades e redefinir o futuro. • Queremos criar ideias que transformem pessoas e, assim, impulsionar as pessoas a transformar o mundo. • Provocando a mudança da mentalidade de nossas pessoas - buscando empreendedorismo, resiliência, compreensão da proposta de valor Qintess e vivência no dia a dia.
🎯 Requirements
• Minímo de 3 anos de experiência • Linguagem Python (intermediário- avançado) • R (desejável) • Banco de dados: SQL (proficiência em pleno menos SGBD como PostgreSQL, MYSQL, Oracle ou DB2) • NoSQL(MongoDF, Cassandra. • Big Data: Hadoop, Spark(Pyspark)- conhecimento intermediário. • Modelagem estátística, • Machine Learning, • APIs RESTful, • GIT, • Ferramentas de Vizualiação de dados. • Experiência em modelagem analítica, • Desenvolvimento de soluçoes escaláveis • Modelagem de dados
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