Data Scientist (Financial AI)

Novembro 10

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CloudWalk, Inc.

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Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. tem como foco revolucionar a indústria de pagamentos, democratizando os serviços financeiros e empoderando empreendedores por meio de soluções inovadoras. Sua missão é criar uma rede de pagamentos justa e tecnologicamente avançada na Terra e além. Utilizando IA e blockchain, a CloudWalk oferece produtos como o InfinitePay, uma plataforma financeira que atende empresas no Brasil, e o JIM, um sistema de pagamentos instantâneos nos EUA. A Stratus, sua blockchain de alta performance, dá suporte a redes globais de pagamentos. A CloudWalk enfatiza o engajamento do cliente e modelos econômicos disruptivos para transformar a maneira como os comerciantes vendem e lucram.

201 - 500 funcionários

💳 Fintech

🤖 Inteligência Artificial

💰 $150.000.000 Series C em 2021-11

Descrição

• 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 • Bridge offline insights to production systems through careful validation and gradual rollout strategies

🎯 Requisitos

• 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.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities