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Papaya Global
Papaya Global
501 – 1,000 Employees
ConsultingFintechLogistics
Papaya Global is a PayTech company building technology for cross-border payroll, payments, and workforce management. Its platform helps businesses coordinate payroll and payment operations across more than 160 countries, with services covering contractor payments, employer of record solutions, and real-time payment processing. The company also supports API integrations, workforce data analysis, fraud prevention, and data security, giving global organizations tools to manage international workforce payments with greater accuracy, visibility, and regulatory control.
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Growth Data Scientist, Mobile Gaming - Papaya Global

Lead growth analytics for Papaya Global’s real-money mobile gaming platform by developing churn, lifetime value, lifecycle, and recommendation models. Apply those models to improve player engagement, monetization, and retention.

ILIsraelHybridFull-timeMiddleSeniorEnglish RequiredData Scientist
BigQueryPythonPyTorchSQLTensorflow

Description

  • Drive growth-focused data science from initial problem framing and label design through data preparation, model development, backend deployment, and impact assessment.
  • Create player-level cohort LTV and churn-risk scores for depositors, connecting predictions to repeat-deposit metrics and actionable interventions.
  • Build cohort-level LTV:CAC maturation models that forecast within the month whether marketing cohorts will recover acquisition costs within one year.
  • Develop lifecycle- and behavior-based models that determine when to send personalized push notifications and emails.
  • Use conditional and hazard modeling to estimate whether lapsed depositors will return after N deposit-free days, informing RV targeting and treatment timing.
  • Develop learning-to-rank systems for lobby tournaments and entry-fee tiers while balancing engagement, monetization, and matchmaking liquidity.
  • Optimize store offers and pack rankings by selecting appropriate products, price points, and delivery timing.

Requirements

  • At least four years of applied data science experience in growth, monetization, retention, or lifecycle domains.
  • A track record of personally deploying models to production and using them to influence business decisions.
  • Experience in mobile gaming, real-money gaming or iGaming, or a consumer application with an active in-app economy.
  • Practical expertise in propensity, churn, uplift, survival or hazard, and LTV modeling.
  • Recommendation or ranking experience is advantageous.
  • Ability to write production-quality Python.
  • Experience with LightGBM or XGBoost.
  • PyTorch or TensorFlow experience for embedding-based applications.
  • Strong SQL skills for working with data warehouses.
  • Experience using Snowflake or BigQuery.
  • Extensive experimentation experience, including test design, sizing, and result interpretation.
  • At least one defensible business-impact claim developed without a clean A/B test.

Benefits

  • Work in a fast-paced environment.
  • Join a culture centered on innovation.
  • Access opportunities for professional development.
  • Have the opportunity to deliver meaningful business impact.

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