Senior Growth Data Scientist
A mobile gaming company is hiring a data scientist to develop and deploy models that shape player experiences and improve retention and monetization. The role spans problem definition, data and modeling, backend integration, and impact measurement.
תחומי אחריות
- Build player-level churn and repeat-deposit prediction models and cohort LTV-to-CAC maturation models
- Develop lifecycle models to personalize the timing and content of push and email communications
- Model the likelihood of deposits after periods of inactivity to inform targeting and treatment timing
- Build learned ranking models for tournament and entry-fee recommendations, balancing engagement, monetization, and matchmaking liquidity
- Rank personalized store offers and packs by player, price, and timing
- Own projects end to end, from problem definition and labeling through modeling, backend integration, and impact measurement
דרישות
- At least 4 years of applied data science experience in growth, monetization, retention, or lifecycle optimization
- Experience in mobile gaming, real-money gaming/iGaming, or a consumer app with a live in-app economy
- Production experience with propensity, churn, uplift, survival/hazard, and LTV models
- Strong Python skills, including LightGBM or XGBoost; production-quality code
- Strong warehouse SQL skills; Snowflake or BigQuery experience
- Experience designing and sizing experiments and assessing results, including defensible impact measurement when a clean A/B test is unavailable
- Evidence of personally deploying models that influenced a business decision
יתרון
- Recommendation or ranking experience
- PyTorch or TensorFlow experience with embeddings
הטבות
- Fast-moving, innovative environment
- Professional growth opportunities
- Opportunity to make a meaningful impact