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Lead Data Scientist
Sin especificarTiempo completoData ScienceMobile Gaming
Lead hands-on data science and AI automation for a portfolio of live mobile games. Own predictive models and agent workflows that guide player-value, retention, monetization, and growth decisions.
Responsabilidades
- Own predicted lifetime-value models from feature and horizon design through validation, retraining, and model-family replacement
- Build and productionize churn and retention models
- Monitor cohort performance and develop target-day and goal logic for optimization
- Design and maintain version-controlled AI agent skills with data contracts, runtime rules, failure handling, and fallbacks
- Extend agent workflows and integrations, converting stable LLM-orchestrated processes into deterministic code when reliability or cost requires it
- Build verification, rollback, and outcome-monitoring systems for safe automation against real spending
- Set technical direction for modeling and agent layers, review work, and mentor analysts and data scientists
- Partner with business, growth, monetization, studio management, product, data infrastructure, business intelligence, and architecture teams
Requisitos
- Professional data science background with recent experience working closely with AI models and agents
- Strong Python and SQL skills
- Strong knowledge of probability and scientific reasoning
- Ability to research complex problems, connect relevant context, and translate findings into practical solutions
Se valora
- Experience in mobile gaming or the games industry
- Previous people-lead experience