Data Scientist

🕒 Abril 15

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

Reflow

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

☁️ SaaS

🏢 Corporativo

🤝 B2B

SaaS • Enterprise • B2B

A Reflow é uma plataforma SaaS que oferece às equipes corporativas visibilidade em tempo real sobre como o trabalho operacional realmente ocorre, ajudando a visualizar fluxos de trabalho, identificar gargalos e desvio, priorizar automação orientada por dados e medir o ROI da otimização. Construída como um sistema de registro para operações empresariais, a Reflow agrega dados granulares de execução em várias ferramentas para revelar insights objetivos, recomendar automações de alto impacto (por exemplo, processamento de reembolsos, triagem de chargebacks, cancelamentos de assinaturas) e verificar conformidade com SOPs enquanto mantém controles de segurança e privacidade em nível empresarial.

Descrição

• Design and build algorithms that power Reflow’s core intelligence and analytics capabilities. • Develop models to pre-label, classify, and structure data, reducing the need for manual setup by users. • Collaborate with machine learning engineers to productionize models and integrate them into scalable systems. • Partner with product and engineering to translate business problems into data-driven solutions. • Build and iterate on models that generate insights, predictions, and recommendations. • Help define and improve data structures that support modeling, analysis, and automation. • Work on improving the SOP driven experience by reducing manual steps and increasing automation. • Analyze complex datasets to identify patterns, trends, and opportunities for product value. • Continuously evaluate model performance and iterate to improve accuracy, reliability, and impact. • Ensure solutions are efficient, scalable, and aligned with real-world workflows and user needs.

🎯 Requisitos

• Experienced in applied data science, machine learning, or advanced analytics in a product-driven environment. • Strong foundation in statistics, modeling, and experimental design. • Hands-on with Python and common data science libraries. • Comfortable building and evaluating models that move into production. • Strong SQL skills and ability to work with large, complex datasets. • Able to translate ambiguous problems into structured, data-driven solutions. • Collaborative and comfortable working across engineering, product, and leadership teams.

🏖️ Benefícios

• Competitive pay based on the market • Open to part-time or full-time work