Data Science Intern (Marketing)

TL;DR

Data Science Intern (Marketing): Analyzing creative performance data and assisting in the execution of creative A/B tests across Wildlife's game portfolio with an accent on identifying patterns, wins, and learnings. Focus on supporting the production of insights reports and maintaining dashboard metrics to inform creative decisions.

Location: Hybrid in São Paulo

Company

Wildlife is a leading mobile game developer and publisher with over 60 titles and billions of players worldwide.

What you will do

• Extract and analyze creative performance data from internal tools and Databricks to identify patterns and learnings.
• Assist in the operational execution of creative A/B tests, applying decision criteria and tracking results daily.
• Support the production of weekly insights newsletters and monthly readouts for producers and stakeholders.
• Help maintain the Pipeline KRs tracker, keeping metrics updated and accurate on a weekly basis.
• Contribute to building and maintaining operational playbooks in Confluence.
• Collaborate with creative producers, UA, and data analysts to support a consistent and scalable creative testing operation.

Requirements

• Mandatory: Expected graduation between July 2027 and December 2027.
• Currently enrolled in a degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Basic SQL proficiency, comfortable with joins, GROUP BY, and filters.
• Good oral and written communication skills in English.

Nice to have

• Interest in mobile gaming, especially as a player.
• Basic familiarity with Python or R for data analysis.
• Curiosity about A/B testing and experimental methodologies.
• Interest in building automations and AI-assisted workflows.

Culture & Benefits

• Analytical Mindset: Eager to learn how numbers can inform creative decisions at scale.
• Team Player: Self-motivated, proactively seek feedback, and enjoy sharing what you learn.
• Communication: Comfortable producing reports and documentation for a cross-functional audience.
• Curiosity for AI: Interest in and openness to working with Gen AI tools and automation.