Data Scientist – Financial AI

November 10

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CloudWalk, Inc.

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Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.

201 - 500 employees

💳 Fintech

🤖 Artificial Intelligence

💰 $150M Series C on 2021-11

📋 Description

• 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 that balance statistical rigor with business speed • Collaborate with engineering to deploy and monitor experimental models in real-time decision engines, including 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

🎯 Requirements

• Curiosity, initiative, and a bias toward experimentation and rapid learning • Strong experimental design expertise (A/B testing, causal inference, measurement frameworks) • Statistical rigor: power analysis, bias detection, and multiple testing corrections • Proficiency in Python 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 analysis of large datasets • Strong communication skills in English and Portuguese, with the ability to explain technical results to non‑technical audiences

🏖️ Benefits

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