数据科学工程师-AB实验/因果推断
Core
Designing, analyzing, and evaluating A/B tests and causal inference studies to optimize game difficulty, activity effectiveness, and core metrics for casual and puzzle games.
Role type
Senior Data Science Engineer (A/B Testing & Causal Inference)
Builds
Production A/B testing infrastructure and causal analysis frameworks for game optimization
Domain
Gaming industry (casual/puzzle games) + Statistics & Machine Learning
Deliverable
production ML models
Required skills
Hypothesis testing, Regression analysis, Bayesian methods, Python, SQL, Pandas, Scikit-learn, PySpark, A/B testing design, Causal inference (DID, PSM, Uplift Models)
Preferred skills
Game industry experience, Large-scale project development, Puzzle game tuning
Technologies
Python, R, SQL, Pandas, Scikit-learn, PySpark
Responsibilities
Collaborate with product and operations teams on full lifecycle data analysis for casual games; Lead or participate in A/B test platform design, metric system building, and effect evaluation; Apply causal inference methods to solve complex attribution problems for level difficulty tuning and activity analysis; Optimize experiment processes and analysis frameworks based on data quality and feedback; Translate analytical insights into actionable business recommendations for game experience optimization.
Seniority
Senior, hands-on IC
