Data Scientist ( Gaming Industry Experince is Mandatory )

Key Responsibilities: Campaign Forecasting : Predict campaign-level profitability from early cohort signals forecast revenue curves and guide budget decisions within days of launch UA Performance Analysis : Build and maintain the models and dashboards that campaign managers rely on daily ROAS tracking, spend efficiency, cohort performance Revenue Curve Modeling : Understand how cohort revenue develops over time across different games, platforms, and ad networks Cross-Game Insights : We run multiple live titles identify patterns and learnings that transfer across the portfolio Production Models : Your models need to run reliably in production, not just in notebooks Qualifications & Skills Must have: 3+ years of experience in data science, analytics, or a quantitative role within gaming, ad tech, or performance marketing Working knowledge of free-to-play economics: cohorts, LTV curves, CPI, ROAS, attribution Experience with campaign-level forecasting or revenue prediction SQL proficie...