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Wildlife Studios, one of the world's leading mobile game developers and publishers with over 60 titles reaching billions of players globally, is seeking a Data Scientist to join the Insights team in São Paulo, Brazil.
In this role, you will transform petabytes of player data into actionable insights that directly improve games. Working embedded with product teams, you'll tackle complex challenges including optimizing matchmaking algorithms, scaling game economies, customizing player content, and designing rigorous experiments. Your work will have measurable impact on player retention, long-term monetization, and overall product strategy.
Key responsibilities include:
- Applying experimentation, advanced statistics, and the scientific method to continuously test hypotheses and iterate on game design
- Analyzing large and complex player datasets to inform product strategy and business decisions
- Partnering directly with Product Managers and Engineers to solve open-ended business questions quickly, leveraging existing tools or building new automations
- Delivering non-trivial solutions to core product challenges such as game economy optimization, matchmaking, and live content customization
- Incorporating agentic AI and modern tools into daily workflows to raise the technical and analytical bar of the team
- Supporting game team decision-making by fostering analytical rigor and building high-quality data products, frameworks, and tools
You thrive in a fast-growing, initiative-driven environment where you can take ownership of problems and drive solutions autonomously. The ideal candidate is naturally curious, pragmatic, and motivated by generating real value for games and players.
REQUIREMENTS:
- Applied Statistics & Machine Learning: Solid understanding and practical experience applying statistical techniques to product problems, including experimentation design, A/B testing, and predictive modeling
- Product Analytics Mindset: Proven ability to analyze player behavior, formulate hypotheses, and translate data into actionable insights for Product Managers and Engineers
- Core Data Skills: Strong proficiency in SQL and Python (or R) to query, clean, and analyze large datasets independently
- AI Tooling & Efficiency: Comfort and interest in using AI tools (such as LLMs or coding assistants) to speed up execution, automate routine tasks, and multiply daily output
- Clear Communication: Ability to structure complex findings clearly and communicate effectively with cross-functional partners in written English
- Business-driven and pragmatic approach to problem-solving
- Creative problem-solving ability with comfort tackling open-ended business problems
- Autonomous with high ownership; ability to lead execution while keeping stakeholders aligned
- AI enthusiasm and eagerness to test new tools and push technical boundaries
- Structured communication skills for complex analytical ideas, both spoken and written, including fluency in English
