Job
Core
Build predictive models to forecast user payment behavior (Day30) based on early in-game activity data to optimize marketing strategies.
Role type
Marketing Data Scientist
Builds
Predictive models for user payment likelihood
Domain
Mobile gaming (4x strategy)
Deliverable
production ML models
Required skills
Python, scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, Pytorch, predictive modeling, large dataset analysis
Preferred skills
Customer behavior modeling, stakeholder communication, game development passion
Technologies
Python, scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, Pytorch
Responsibilities
Build and refine predictive models to forecast user payment likelihood; Explore and process large volumes of in-game event data; Collaborate with marketing team on user acquisition decisions; Manage large datasets for timely insights
Seniority
Mid-level (4+ years experience)
