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
Gaming (4x strategy) + Machine Learning
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, game development passion
Technologies
Python, scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, Pytorch
Responsibilities
Build and refine predictive models for user payment likelihood, process large volumes of in-game event data, collaborate with marketing team on user acquisition decisions, manage large datasets for precise insights
Seniority
Mid-Senior (4+ years experience)
