The Decision Science team Team
- We work across the ML spectrum – from traditional statistical models to cutting-edge agentic systems
- We collaborate with distributed, cross-functional teams of Engineers, Data Scientists, and Analysts in a culture that values open discussion and intellectual honesty
- We experiment with emerging techniques to push the boundaries of real-world AI capabilities and system optimization
- We value curiosity and ownership – the mindset of a researcher with the maturity to own both problems and outcomes
What You'll Do
- Design and optimize ML models that power core product experiences and drive business outcomes
- Develop statistical frameworks for A/B testing, performance monitoring, and measuring model effectiveness
- Research and implement cutting-edge techniques to enhance model accuracy, speed, and reliability
- Collaborate with product teams to optimize user experiences and translate insights into business strategy
- Build evaluation pipelines to continuously monitor and improve model performance in production
What You'll Need
- Strong statistical and ML foundation with experience in experimental design, hypothesis testing, and model optimization
- Python proficiency with data science libraries (pandas, scikit-learn, numpy, scipy)
- Machine learning expertise across supervised, unsupervised, and reinforcement learning approaches
- SQL skills for data extraction, analysis, and feature engineering
- Communication skills to translate analytical findings into clear business insights
- Ability to communicate and debate in English and Portuguese
Nice to Have
- App optimization experience with multi-armed bandits (MAB), recommendation systems, or personalization algorithms
- Analytics platform experience with tools like Amplitude, Rudderstack, or similar product analytics platforms
- MLOps familiarity with tools like MLflow for model tracking and experimentation
- Experience with Google Cloud Platform and BigQuery for large-scale data analysis
- Agentic frameworks experience with LangChain or similar tools for AI system development
Recruiting process outline:
- Online assessment: An online test to evaluate your analytical skills and statistical reasoning
- Technical interview: Deep dive into your ML experience and problem-solving approach
- Cultural interview
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What We Do
We are democratizing the payments industry in Brazil, by empowering entrepreneurs through technological, inclusive, and life-changing solutions. Based in Brazil, CloudWalk is a high-end global payment network built on modern technology and proprietary blockchain, focused in bringing a revolution to the payment ecosystem for small and medium-sized businesses. As a unicorn, the company has provided its customers with more than R$ 1 billion in savings by charging fair fees on its transactions and is now present in more than 300.000 businesses across 5.000 brazilian cities. With investors such as the Valor Capital Group, HIVE Ventures and Coatue, the company has already raised US$ 365.5 million in investments and R$3.4 billion in FDICs for anticipation of receivables in its network of financial solutions. In 2022, it was the only brazilian fintech to be featured in the "The Retail Tech 100" ranking by CB Insights, on the "Protection Solutions for Payments and Frauds".
