Data Science Intern (Marketing)

Sobre a vaga

We're looking for a talented and passionate Data Science Intern to join Wildlife's Creatives team in Sao Paulo. The Creatives team at Wildlife is growing. With an audience that numbers in the hundreds of millions, our games have the power to impact countless lives. Our creatives are the first point of contact between our games and our players, and data is what tells us what works. As a Data Science Intern, you will be immersed in a data-driven environment where you'll learn how to run structured creative A/B tests, analyze performance data across our game portfolio, and translate results into actionable insights for producers and stakeholders. You'll work alongside creative producers, UA producers, and data analysts, getting hands-on experience with the full cycle of data-driven creative experimentation on platforms like Meta and Unity. The right person for this position is curious by nature, comfortable in a "take the initiative" environment, loves solving problems with data, and can thrive in a fast and growing business. What you'll do Data Analysis: You will learn to extract and analyze creative performance data from our internal tools and Databricks, helping to identify patterns, wins, and learnings across multiple game titles. Testing Support: You will assist in the operational execution of creative A/B tests following our structured framework (Exploration, Refinement, and OKR cycles), applying decision criteria and tracking results daily. Reporting: You will support the production of a weekly insights newsletter and monthly readouts, helping to surface top-performing creatives, kills, and key learnings for producers and stakeholders. Dashboard Maintenance: You will help maintain our Pipeline KRs tracker, keeping metrics like Hit Rate, Win Rate, Yie

Habilidades

O que você vai fazer

• Extrair e analisar dados de performance criativa
• Auxiliar na execução de testes A/B
• Identificar padrões e aprendizados em dados
• Produzir relatórios e newsletters de insights
• Manter rastreadores de métricas

O que você precisa ter

• Paixão por Data Science
• Conforto em ambiente proativo
• Habilidade em resolver problemas com dados
• Capacidade de prosperar em ambiente dinâmico

Perguntas frequentes