Data Scientist - Risk (científico De Datos - Riesgo) - Bogota (hybrid)

Clara Instituicao de Pagamento Ltda

Bogota, Colombia
**
Credit risk, fraud prevention, and churn reduction
Sql and python for data analysis
Aws and databricks experience
** Clara Instituicao de Pagamento Ltda is seeking a Data Scientist for their Risk Data Science team in Bogotá, Colombia. The ideal candidate should have extensive experience in data science, particularly in risk modeling, and be proficient in Python and SQL, with a strong understanding of machine learning and cloud platforms. **

Job Summary

  • Analyze complex datasets to generate insights driving critical business decisions in credit risk, fraud prevention, and churn reduction.
  • Design, build, and deploy data-driven strategies using machine learning models on cloud platforms.
  • Join a fast-paced, high-growth environment at the leading B2B fintech for spend management in Latin America.

Matching Summary

Match Score: 75

** Clara Instituicao de Pagamento Ltda is seeking a Data Scientist for their Risk Data Science team in Bogotá, Colombia. The ideal candidate should have extensive experience in data science, particularly in risk modeling, and be proficient in Python and SQL, with a strong understanding of machine learning and cloud platforms. **

Skills & Requirements

Must-have

  • credit risk, fraud prevention, and churn reduction
  • SQL and Python for data analysis
  • AWS and Databricks experience
  • MLflow, scikit-learn, and PyTorch
  • English and Spanish proficiency
  • problem-solving and communication skills
  • degree in Data Science or equivalent

Nice-to-have

  • data visualization tools like Metabase
  • data engineering and ETL processes
  • experience taking models to production
  • Master's degree in Data Science
  • basic Portuguese proficiency

Key Requirements

  • 5+ years of experience in data science or analytics
  • 2+ years of hands-on experience developing risk models
  • Working proficiency in English and Spanish
  • Degree in Data Science, Computer Science, Mathematics, Statistics, or equivalent

Work Rights

Not specified

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