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.
Role type
Senior IC data scientist (game analytics)
Builds
Data pipelines, data products, reports, analyses, and ML applications for game improvement
Domain
Video games / Entertainment
Deliverable
production ML models | dashboards & analysis
Required skills
PySpark, SQL, Python (ML/stats), statistical theories (probability, Bayesian, causal inference), ML techniques (Clustering, Gradient Boosting, Neural Networks, Regression), Tableau
Preferred skills
Databricks, MLFlow, MBA/MSc/PhD, game industry experience
Technologies
PySpark, Tableau, Databricks, MLFlow
Responsibilities
Design and deliver data analytics solutions using ML and advanced techniques; provide high-quality insights aligned with strategic initiatives; create actionable reports and presentations; analyze gameplay flows to inform game data analysis; lead analytic value-add projects; conduct predictive modeling to uncover opportunities; partner with data teams and stakeholders; mentor junior team members
Seniority
Senior, hands-on IC with mentorship
