Cientista De Dados Iii

Serasa Experian

São Paulo, Brazil
On-site
Python programming with numpy pandas scikit-learn
Machine learning model validation and bias control
Credit risk modeling and feature engineering
The role involves developing risk models to optimize credit analysis and lending decisions specifically within the agricultural sector

Job Summary

  • The role involves developing risk models to optimize credit analysis and lending decisions specifically within the agricultural sector.
  • The successful candidate will act as a technical reference and lead the evolution of risk model architecture including features and MLOps.
  • Serasa Experian is recognized as a top employer with a strong focus on innovation, diversity, and work-life balance.

Matching Summary

The role involves developing risk models to optimize credit analysis and lending decisions specifically within the agricultural sector.

Skills & Requirements

Must-have

  • Python programming with Numpy Pandas Scikit-learn
  • Machine Learning model validation and bias control
  • Credit risk modeling and feature engineering
  • Analytical architecture and pipeline design
  • Git version control and code review skills

Nice-to-have

  • Experience in Agriculture or Agribusiness domain
  • Leadership experience mentoring junior data scientists
  • Knowledge of LLMs and AI agents strategy
  • Familiarity with AWS cloud environment
  • Experience with Spark Polars or Hadoop ecosystems

Key Requirements

  • Graduation in Data Science Mathematics Engineering Statistics Computer Science
  • Proven experience in real-world credit risk modeling
  • Strong communication skills for presenting technical results

Work Rights

Not specified

Tailored Resume

Cover Letter