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Senior Growth Data Scientist
Not specifiedNot specifiedData ScienceMobile Gaming
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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- Recommendation or ranking experience
- PyTorch or TensorFlow experience with embeddings
Benefits
- Fast-moving, innovative environment
- Professional growth opportunities
- Opportunity to make a meaningful impact