As a Data Scientist on our AI Optimization team your mission is to design and optimize intelligent systems that power core product experiences. Youll transform rich data into models that drive automation personalization and smart decision-making at scale. This role blends applied science and analytics focused on building adaptive ML systems that evolve continuously and make a tangible impact.
The AI Optimization Team
We work across the ML spectrum from traditional statistical models to cutting-edge agentic systems
We collaborate with distributed cross-functional teamsof Engineers Data Scientists and Analysts in a culture that values open discussion and intellectual honesty
We experiment with emerging techniquesto 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 Youll Do
Design and optimize ML modelsthat power core product experiences and drive business outcomes
Develop statistical frameworksfor A/B testing performance monitoring and measuring model effectiveness
Research and implement cutting-edge techniquesto enhance model accuracy speed and reliability
Collaborate with product teamsto optimize user experiences and translate insights into business strategy
Build evaluation pipelinesto continuously monitor and improve model performance in production
What Youll Need
Strong statistical and ML foundationwith experience in experimental design hypothesis testing and model optimization
Python proficiencywith data science libraries (pandas scikit-learn numpy scipy)
Machine learning expertiseacross supervised unsupervised and reinforcement learning approaches
SQL skillsfor data extraction analysis and feature engineering
Communication skillsto translate analytical findings into clear business insights
Ability to communicate and debate in English and Portuguese
Nice to Have
App optimization experiencewith multi-armed bandits (MAB) recommendation systems or personalization algorithms
Analytics platform experiencewith tools like Amplitude Rudderstack or similar product analytics platforms
MLOps familiaritywith tools like MLflow for model tracking and experimentation
Experience with Google Cloud Platformand BigQuery for large-scale data analysis
Agentic frameworksexperience 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
If you are not willing to take an online quiz and work on a test case do not apply.
Diversity and inclusion:
We believe in social inclusion respect and appreciation of all people. We promote a welcoming work environment where each CloudWalker can be authentic regardless of gender ethnicity race religion sexuality mobility disability or education.
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