• Contribute to the design, build, and maintenance of data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs. • Assist in developing, evaluating, and iterating on machine learning models for use cases such as LTV prediction, churn forecasting, player segmentation, and marketing optimization. • Build and optimize analytical datasets and feature pipelines that support modeling, experimentation, and reporting. • Partner with Product, Game Design, Marketing, and Analytics teams to help frame business questions, define success metrics, and surface actionable insights. • Support data quality, reliability, and reproducibility through testing, documentation, and version control. • Help integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making. • Continuously learn and improve your own analytical workflows, modeling approaches, and data tooling under the guidance of senior team members.