Cientista de Dados Sênior
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Job Description
Senior Data Scientist developing machine learning models at Localiza&Co for sustainable mobility solutions. Collaborating across teams to enhance customer journey and revenue optimization strategies.
Responsibilities:
- Propor, desenvolver e implementar modelos de Machine Learning robustos, escaláveis e performáticos de ponta a ponta;
- Implementar modelos de recomendação e personalização;
- Desenvolver sistemas de inteligência híbridos, combinando Machine Learning e IA generativa;
- Liderar tecnicamente projetos e iniciativas, garantindo a entrega de soluções de alta qualidade;
- Interagir com áreas de negócio e de produto, para definir soluções através de uma visão sistêmica e abrangente;
- Conduzir análises complexas, extraindo insights valiosos e gerando impacto positivo nos negócios;
- Desenvolver e implementar soluções de monitoramento e mensuração de resultados;
- Otimizar o tratamento de dados massivos, garantindo eficiência e precisão;
- Apoiar outros cientistas de dados, promovendo um ambiente de aprendizado contínuo;
- Colaborar com equipes multidisciplinares para integrar soluções de dados em diferentes áreas da empresa;
- Manter-se atualizado com as últimas tendências e tecnologias em ciência de dados e IA, aplicando-as para melhorar continuamente os processos e modelos existentes.
Requirements:
- Experiência comprovada em extração de valor através do uso de dados, preferencialmente nas áreas de Ciência de Dados/Big Data;
- Experiência no desenvolvimento de modelos de Machine Learning;
- Capacidade de avaliar impactos e retorno de modelos de Machine Learning;
- Habilidade para apresentar metodologias e resultados de forma clara e eficaz para as áreas de negócio;
- Conhecimentos avançados em Algoritmos de Aprendizado de Máquina;
- Experiência com estatísticas;
- Capacidade de trabalhar de forma independente e em equipe;
- +4 anos de experiência comprovada trabalhando com ciência de dados;
- Conhecimentos avançados e consolidados em Python e SQL.
Benefits:
- Participação nos Lucros
- Carro corporativo
- Vale Alimentação
- Vale Refeição
- Convênio Médico
- Convênio Odontológico
- Gympass
- Previdência Privada
- Auxílio Home Office
- Allya
- Acesso ilimitado a diversos cursos da nossa Universidade Localiza
- Programas internos de treinamento e desenvolvimento
- Desconto em compra e aluguel de veículos
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