Data Scientist

Vaga não está no LinkedIn

🔥 14 horas atrás

💃 América Latina – Remoto

⏰ Tempo Integral

🟢 Júnior

📊 Cientista de Dados

🚫👨‍🎓 Sem graduação necessária

👻 Score fantasma 15%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

CodeRoad

SiteLinkedInTodas as Vagas

1 - 10 funcionários

📚 Educação

☁️ SaaS

Education • SaaS

CodeRoad é um programa abrangente de treinamento online que ensina JavaScript e desenvolvimento web front-end do zero até o nível de Desenvolvedor Front-End Júnior. Criado e ministrado por Mateusz Choma, o curso inclui mais de 175 horas de aulas em vídeo, exemplos práticos de código em um editor no navegador e abrange HTML, CSS, JavaScript, React e Redux, além de sessões de perguntas e respostas da comunidade e mentoria opcional individual. A plataforma é autônoma e acessível 24 horas por dia, 7 dias por semana, voltada para indivíduos que buscam iniciar uma carreira em desenvolvimento front-end.

Descrição

• Build, test, and refine machine learning and statistical models to identify anomalies, forecast costs, analyze shipping rates, and classify invoices • Evaluate model performance and contribute to improving predictive accuracy • Apply NLP, embeddings, and LLMs to extract insights from unstructured supply chain documents, logistics contracts, and business data • Prepare datasets and develop feature engineering workflows • Support model deployment, monitoring, and automated retraining • Clean, transform, and analyze transactional datasets • Identify patterns, evaluate shipping trends, compare carrier rates, and support cost optimization and contract negotiation decisions • Use SQL, statistical analysis, and data visualization to communicate findings and provide actionable recommendations • Implement data quality checks and validate analytical results • Monitor model performance and follow security and governance standards across cloud data environments • Experiment with AI tools, libraries, and techniques to improve analytical workflows and automate repetitive tasks • Collaborate with AI and software engineers and cross-functional teams

🎯 Requisitos

• 1–3 years of professional experience in data science, machine learning, applied statistics, or a related analytical role • Hands-on experience working on real-world datasets and analytical projects • Practical experience with Python and common data science libraries such as pandas, NumPy, and scikit-learn • Familiarity with statsmodels or similar statistical tools is a plus • Experience writing SQL queries to retrieve, transform, and analyze data from relational databases • Familiarity with Microsoft SQL Server or PostgreSQL is preferred • Solid understanding of machine learning concepts, including regression, classification, clustering, and time series forecasting • Exposure to NLP, embeddings, and LLMs is highly desirable, particularly through hands-on projects or practical applications • Familiarity with cloud-based machine learning or AI platforms, preferably Azure Machine Learning or Azure AI Foundry • Experience with Power BI, Tableau, or Python visualization libraries is an advantage • Proactive mindset toward exploring and applying AI tools • Strong problem-solving skills and attention to detail • Ability to work with complex datasets, validate assumptions, and draw meaningful conclusions • Comfortable taking initiative, learning independently, and collaborating with cross-functional teams • Good English communication skills, both written and verbal • Ability to explain analytical findings and technical concepts clearly to non-technical stakeholders

🏖️ Benefícios

• USA Contractor / 100% Remote • Competitive Pay (USD) • Holidays Off & Paid Time Off • Health insurance assistance program • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks. • Agentic AI tools and training • Coursera Enterprise • Studio practice labs • High-touch onboarding • Transparent leadership communication • Community recognition • Psychological safety

📊 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