Data Scientist
Core
Analyze large-scale player data and deploy machine learning models to increase game revenue for life-simulation and racing games.
Role type
Data Scientist (Machine Learning)
Builds
Production ML models and prediction pipelines for live game titles
Domain
Gaming / Mobile Games
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn), SQL, machine learning workflows, experimental design, causal inference, A/B testing, Git, data warehouse management
Preferred skills
None stated
Technologies
Python, SQL, pandas, NumPy, scikit-learn, Matplotlib, seaborn, Git
Responsibilities
Analyze large-scale player data to generate actionable insights; Perform feature engineering on data warehouse data; Prototype and improve ML models and prediction pipelines; Present findings and recommendations to non-technical stakeholders
Seniority
Mid-level, hands-on IC
