Senior Data Scientist, Game Analytics
Core
Design and deliver data analytics solutions, predictive modeling, and machine learning applications to understand players and improve game experiences for Rockstar Games.
Role type
Senior IC data scientist (game analytics)
Builds
Data pipelines, data products, data models, reports, analyses, and machine learning applications for game improvement
Domain
Video games / Entertainment
Deliverable
production ML models | dashboards & analysis
Required skills
PySpark, SQL, Python (ML/statistical analysis), statistical theories (probability, Bayesian, causal inference), machine learning (Clustering, Gradient Boosting, Neural Networks, Regression), Tableau, data storytelling
Preferred skills
Databricks, MLFlow, MBA/MSc/PhD, game industry experience
Technologies
PySpark, Tableau, Databricks, MLFlow
Responsibilities
Design and deliver data analytics solutions addressing critical business or game questions; Provide high-quality insights and in-depth analyses aligned to strategic initiatives; Develop deep understanding of gameplay flows to inform game data analysis; Identify and lead analytic value-add projects and experiments; Conduct proactive in-depth analysis and predictive modeling to uncover hidden opportunities; Mentor and develop junior team members
Seniority
Senior, hands-on IC with mentorship