Data Modelling Expert

2 semanas atrás

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro R$90.000 - R$120.000
Data Scientist Role
At a leading fintech company, we're revolutionizing the payment landscape.
We're an AI-first firm disrupting traditional financial services with bold, innovative thinking.

We're looking for a Data Scientist who sees experiments as conversations with reality. You'll design, run, and analyze credit experiments that shape real-time lending decisions, helping millions of entrepreneurs access fairer credit.

The Financial AI Team
Our team powers money movement and credit decisions including real-time credit engines, repayment orchestration, dynamic pricing, and collections.

Key Responsibilities:
  • Design and execute experiments for credit models with rigorous frameworks to measure business 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

Required Skills and Qualifications:
  • 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 explaining technical results to non-technical audiences

Nice to Have:
  • Experience with Google Cloud Platform and BigQuery
  • Hands-on work in credit model experimentation and measurement in production fintech/digital lending environments
  • MLOps experience deployment monitoring and experimentation at scale

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