Data Scientist (AI Optimization Team)

Remote

Job Description

As a Data Scientist on our AI Optimization team, your mission is to design and optimize intelligent systems that power core product experiences. You'll 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 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

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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