Data Scientist - Collection

About CloudWalk

About CloudWalk: We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we're now expanding our neural network - literally and metaphorically. At CloudWalk, our Collection team owns recovery across every product we offer, from lending and chargebacks to acquiring debts and credit card. We run several collection flows in parallel, and our credit card business is scaling fast. We are looking for a Data Scientist to design the strategies, analyses, and models that make collection smarter and more effective, starting with credit card and expanding to other collection fronts over time. If you love turning messy data into decisions that move real money, this role is for you.

About This Role

• Own credit card collection intelligence. Design strategies, analyses, and models built specifically for our credit card portfolio.
• Build decision models. Develop and improve models such as propensity to pay, risk segmentation, and treatment and channel optimization to drive collection actions.
• Turn data into strategy. Analyze collection performance, design experiments, and translate findings into concrete changes in policies and flows.
• Ship to production. Partner with engineering and operations to put models and rules into production and monitor their performance over time.
• Expand the scope. Collaborate with the team's lending modeling work and take on other collection fronts as the business grows.
• Use AI as a practical accelerator for analysis, coding, and operations, not only as a chat assistant.
  
  

What You Need To Succeed

• Hands-on experience with collection, credit, or credit card portfolios.
• Strong analytical mindset: you break down messy problems with data and reach clear, actionable conclusions.
• Experience building statistical and machine learning models that drive business decisions.
• Fluency in Python and SQL, with proficiency in libraries such as pandas, scikit-learn, XGBoost/LightGBM, or similar.
  
  

Nice to Have

• Experience with experimentation (A/B tests, champion/challenger strategies) and causal inference.
• Experience deploying and monitoring models in production.
• Familiarity with cloud data platforms (GCP/BigQuery or AWS) and version control (Git).
• Experience with LLMs and Agents.
• Builder and proactive mindset: you take ownership and create solutions, not just reports.
• As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven.
• Ability to communicate effectively in both English and Portuguese.
  
  

The Future We See

The Future We See: At CloudWalk, we envision a future where AI empowers every field to reach new heights:

• People teams leveraging AI to transform talent acquisition and employee development.
• Marketing professionals creating data-driven, AI-powered campaign strategies.
• Customer Success teams enhancing client experiences with intelligent solutions.
• Risk analysts combining human expertise with AI to navigate complexities.
• Designers collaborating with AI to push creative boundaries.
  
  

Join us at CloudWalk, where we're not just engineering solutions; we're building a smarter, AI-driven future for payments—together.