Marketing Data Scientist

🕒 Junho 11

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

CircleCI

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2011

☁️ SaaS

Software • SaaS • Development Tools

O CircleCI é uma plataforma de integração contínua e entrega contínua (CI/CD) que capacita as equipes de engenharia a automatizar o processo de construção, teste e implantação de software de forma eficiente. Com recursos robustos como testes automáticos, visibilidade de ponta a ponta e entrega progressiva, o CircleCI ajuda as organizações a otimizar seus fluxos de trabalho de desenvolvimento de software e implantar aplicações com confiança. Ele atende desenvolvedores de todos os portes, oferecendo flexibilidade e integração em diversos ambientes.

Descrição

• Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end. • Develop and own attribution models that accurately allocate marketing investment across channels and touchpoints. • Build propensity, lead scoring, and churn models to prioritize where GTM teams should focus. • Model the relationship between product engagement signals and downstream commercial outcomes — expansion, retention, and conversion. • Design, execute, and interpret experiments (A/B, MVT, geo-based) with appropriate power analysis and statistical validity. • Build and apply segmentation models and cohort analyses to uncover behavioral patterns, lifecycle trends, and funnel opportunities. • Analyze organic search and AEO signals as modeling inputs to inform content strategy and improve discoverability. • Partner with analytics engineers to productionize models and move insights from notebook to pipeline. • Use AI tools to move faster, explore unfamiliar methods, and surface modeling options — while developing the judgment to know when AI-generated outputs are wrong or incomplete.

🎯 Requisitos

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field; Master's or PhD is a bonus. • 4 to 6 years applying data science in a product, growth, or marketing context at a high-growth company. • Strong command of Python (pandas, scikit-learn, statsmodels, or similar) and analytical SQL. • Demonstrated experience building predictive models that influenced real business decisions. • Hands-on experience with marketing measurement — attribution, media mix modeling, incrementality testing, or similar. • Solid statistical foundation — forecasting, regression, classification, causal inference, and experiment design. • Experience with GA4, Google Ads, and digital marketing measurement platforms. • Strong understanding of reverse ETL processes and operationalizing model outputs. • Strong storytelling skills — able to translate statistical complexity into clear, actionable business language for both technical and non-technical audiences.

🏖️ Benefícios

• Reasonable accommodation for individuals with disabilities