כניסההרשמה
חזרה

Data Scientist

Papaya Gaming
שכר לא צויןTel-Aviv, Tel Aviv-Yafo, Israel, מרחוקסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 10 שעות

You will build and launch models for player retention, monetization, lifecycle messaging, and personalized game and store recommendations. You will own the work from defining the problem and preparing data to integrating models and measuring their business impact.

מה תעשו

  • Build player-level deposit risk scores and cohort LTV:CAC maturation models.
  • Build models to optimize personalized push and email timing and lifecycle journeys.
  • Model the probability that lapsed depositors will deposit again, and inform targeting and treatment timing.
  • Develop a ranking model to recommend tournaments and entry-fee tiers to players.
  • Rank personalized store offers and packs by player, price point, and timing.

דרישות

  • Have 4+ years of applied data science experience in growth, monetization, retention, or lifecycle, including models deployed to production.
  • Have prior experience in mobile gaming, real-money gaming/iGaming, or a consumer app with a live in-app economy.
  • Have hands-on experience with propensity, churn, uplift, survival/hazard, and LTV modeling.
  • Use production-quality Python and strong warehouse SQL; experience with LightGBM/XGBoost and Snowflake or BigQuery is specified.
  • Have designed and sized experiments and assessed results, including a defensible impact claim when a clean A/B test was unavailable.

יתרון

  • Recommendation or ranking experience.
  • PyTorch or TensorFlow experience for embedding-based work.

תנאי סף

  • 4+ years of applied data science experience in growth, monetization, retention, or lifecycle
  • Prior experience in mobile gaming, real-money gaming/iGaming, or a consumer app with a live in-app economy
  • Production-quality Python
  • Strong warehouse SQL
PythonSQLLightGBMXGBoostPropensity modelingChurn modelingLTV modelingExperimentation