Senior Data Scientist

🕒 2 dias atrás

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

OneSix

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2013

🤖 Inteligência Artificial

Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences

A OneSix é uma empresa que potencializa o poder de dados e IA para gerar resultados de negócios concretos em diversos setores. Com expertise em Estratégia de Dados e IA, Engenharia de Dados, Análise de Dados e IA e Machine Learning, oferece soluções de ponta a ponta, sob medida para os desafios únicos de indústrias como Serviços Financeiros e Saúde. Sua equipe qualificada de Engenheiros de Dados, Cientistas de Dados e Engenheiros de IA/ML trabalha lado a lado com os clientes para destravar o potencial dos dados e aumentar a eficiência operacional.

Descrição

• Research, design, and build ML models across a range of use cases • Work across the full deployment spectrum: managed cloud ML platforms and containerized solutions built in Python • Collaborate with engineers to integrate models into production environments and uphold MLOps best practices • Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability • Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement • Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders

🎯 Requisitos

• 4+ years of hands-on ML experience with a track record of shipping models to production • Strong suit in at least one area — predictive/classical ML, computer vision, or LLM/agentic systems • Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus • Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments) • Deep understanding of ML algorithms, statistical modeling, and optimization • M.S. in a quantitative field, or equivalent depth demonstrated through shipped work • Clear communicator who can explain their methodology and defend their choices • Must be based in the US or Canada.

🏖️ Benefícios

• Competitive compensation • Company-paid medical, vision, dental, and wellness benefits for employees • Company-provided home office equipment • Flexible vacation and sick days • Team-oriented and supportive working environment • Company-sponsored events and swag