
1001 - 5000 employees
Founded 1996
🤝 B2B
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
🔥 1 minute ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1996
🤝 B2B
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
• Esta posição combina visão arquitetural, profundidade técnica e atuação consultiva. • Buscamos profissionais capazes de transformar desafios complexos em soluções de dados escaláveis, modernas e orientadas a resultados. • Você realizará análise exploratória de dados (EDA) com foco em produtos e comportamento de clientes. • Irá desenvolver modelos preditivos e algoritmos de recomendação (ex: next best offer, segmentação, classificação). • Traduzir dados complexos em insights claros para apoiar decisões estratégicas das áreas de Produtos e Negócios. • Identificar padrões de comportamento, segmentar clientes e sugerir ações baseadas em dados.
• Graduação em Ciência de Dados, Estatística, Engenharia, Ciência da Computação ou áreas correlatas. • Mínimo de 3 anos atuando como Cientista de Dados em projetos com foco em produtos e recomendação. • Conhecimentos técnicos em: Python (pandas, scikit-learn, etc.), SQL, ferramentas de visualização (Power BI, Tableau, etc.). • Experiência com bibliotecas de machine learning e algoritmos de recomendação. • Domínio em análise estatística e manipulação de grandes volumes de dados. • Forte capacidade analítica, senso de negócio e habilidade de comunicação com diferentes áreas.
• Inteligência Coletiva • Confiabilidade • Pragmatismo • Espírito Empreendedor
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