Papaya Global
Papaya Global
501 – 1 000 Қызметкерлер
КонсалтингЛогистикаФинтех
Papaya Global — шекарааралық жалақы төлемдерін, төлемдерді және жұмыс күшін басқаруға арналған технологиялар әзірлейтін PayTech компаниясы. Оның платформасы компанияларға 160-тан астам елдегі жалақы мен төлем операцияларын үйлестіруге көмектеседі. Қызметтері мердігерлерге төлем жасауды, жұмыс беруші ретінде тіркелу шешімдерін және нақты уақыттағы төлемдерді өңдеуді қамтиды. Компания API интеграцияларын, жұмыс күші туралы деректерді талдауды, алаяқтықтың алдын алуды және деректер қауіпсіздігін де қолдайды, осылайша жаһандық ұйымдарға халықаралық жұмыс күші төлемдерін жоғары дәлдікпен, ашықтықпен және нормативтік бақылаумен басқаруға мүмкіндік береді.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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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