6 дней назад
Data Scientist (Growth)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Growth) (Mobile Gaming): Building production models for player churn, LTV, lifecycle engagement, tournament ranking, and personalized store offers with an accent on growth, monetization, retention, and real-money gaming. Focus on defining prediction problems, creating labels, integrating models into backend systems, and measuring business impact through experimentation.
Location: Tel Aviv, Israel
Company
develops skill-based mobile games supported by a large-scale B2C platform with social competitions, real-money gameplay, and millions of players worldwide.
What you will do
- Build and productionize player-level churn and repeat-deposit risk models, cohort LTV:CAC maturation models, and payback forecasts.
- Optimize CRM and lifecycle communication by modeling the timing, channel, and journey for personalized push and email notifications.
- Develop conditional or hazard models to predict when lapsed depositors are likely to deposit again and inform targeting and treatment timing.
- Build learned ranking models for tournament recommendations and entry-fee tiers, balancing engagement, monetization, and matchmaking liquidity.
- Personalize store offers and pack rankings by selecting the right offer, price point, and timing for each player.
- Own projects end to end, including problem definition, labeling, data preparation, modeling, backend integration, and impact measurement.
Requirements
- 4+ years of applied data science experience in growth, monetization, retention, or lifecycle optimization.
- Production experience with models that changed business decisions.
- Prior experience in mobile gaming, real-money gaming/iGaming, or a consumer app with a live in-app economy.
- Hands-on experience with propensity, churn, uplift, survival/hazard, and LTV modeling; recommendation or ranking experience is valuable.
- Production-quality Python with LightGBM or XGBoost; PyTorch or TensorFlow for embedding-based work; strong warehouse SQL with Snowflake or BigQuery.
- Deep experimentation experience, including test design, sizing, honest interpretation, and defensible impact measurement when a clean A/B test is unavailable.
Culture & Benefits
- Fast-moving environment focused on innovation and professional growth.
- Opportunity to influence products used by millions of players worldwide.
- Work on real-money skill-based games and a large-scale B2C gaming platform.
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