Data Scientist (AI Optimization Team)

CloudWalk; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A technology and data-driven company in São Paulo is seeking a Data Scientist to design and optimize intelligent systems. This role requires a strong statistical foundation and expertise in machine learning. Responsibilities include developing performance monitoring frameworks, collaborating with product teams, and optimizing user experiences. Proficiency in Python and SQL is essential. Join a diverse and inclusive work environment where your contributions matter.

Qualificações

• Strong statistical and ML foundation with experience in experimental design.
• Ability to communicate and debate in English and Portuguese.

Responsabilidades

• Design and optimize ML models that drive business outcomes.
• Develop statistical frameworks for A/B testing and model effectiveness.
• Collaborate with product teams to optimize user experiences.

Conhecimentos

Statistical analysis

Machine Learning

Python proficiency

SQL skills

Communication skills

Ferramentas

Pandas

Scikit-learn

NumPy

SciPy

MLflow

Google Cloud Platform

BigQuery

Descrição da oferta de emprego

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 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 You'll 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 You'll 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.