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Financial Modeler

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São Paulo, São Paulo, Brasil beBeeDataScientist Tempo inteiro R$150.000 - R$250.000
Data Scientist Job Opportunity

We are seeking a skilled Data Scientist to join our team in the financial AI sector. This role involves designing, running, and analyzing credit experiments that shape real-time lending decisions, helping millions of entrepreneurs access fairer credit.

Key Responsibilities:
  • Design and execute experiments for credit models, with rigorous frameworks to measure business and merchant impact
  • Build systematic experimentation infrastructure—metrics, statistical methodologies, and evaluation criteria for credit model performance
  • Implement A/B testing systems with proper statistical power, randomization, and causal inference methods
  • Analyze results from multiple model variations, translating them into clear credit policy recommendations
  • Develop scalable best practices balancing statistical rigor with business speed
  • Collaborate with engineering to deploy and monitor experimental models in real-time decision engines, with rollback safety nets
  • Apply measurement science to link experiments to merchant success, default rates, and financial inclusion outcomes
Requirements:
  • Curiosity, initiative, and a bias toward experimenting and learning fast
  • Strong experimental design expertise (A/B testing, causal inference, measurement frameworks)
  • Statistical rigor: power analysis, bias detection, multiple testing corrections
  • Python proficiency for analysis, modeling, and statistical computation
  • Measurement science skills—designing metrics and building robust evaluation frameworks
  • Experience with machine learning for classification and risk modeling
  • SQL skills for feature engineering and large dataset analysis
  • Strong communication skills in English & Portuguese, with ability to explain technical results to non-technical audiences
Diversity and Inclusion:

We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each employee can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.

Employment Details:
  • Seniority level
  • Full-time employment
  • Engineering and Information Technology job function