CO - Sr. Data Scientist - 229

Thaloz · Remoto · Remote

Recebendo candidaturas · conferida em 14/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Aceita candidatos do Brasil
Senioridade
Sênior
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • analise dados
  • estatistica basica
  • python
  • sql
  • ab testing
  • mentoring
  • stakeholder management

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

Clearco is hiring a Senior Data Scientist to design models, experiments, and analytics for risk, underwriting, and revenue decisions.

O que você vai fazer

  • Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
  • Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance.
  • Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.
  • Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.
  • Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data.

Descrição completa da vaga

Clearco is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions. This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses. Responsibilities Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation. Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance. Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability. Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability. Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data. Communicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations. Improve analytical standards, code review practices, and documentation to raise technical quality. Mentor and support team members through pairing, feedback, and sharing best practices.

Perguntas e respostas sobre a vaga

Aceita candidatos de onde?
Aceita candidatos do Brasil.
Qual o regime de contratação?
A vaga não diz.
É remota?
Sim, é remota.
Informa salário?
Não, a vaga não divulga.

Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.

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