• Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
• Deliver actionable business insights to internal and external stakeholders.
• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
• Engage in technical knowledge sharing, documentation, and cross-team collaboration.
• Master or PhD degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.
• Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.).
• Experience with building complex data products and machine learning systems on large datasets preferred.
• Proficient in Python and SQL.
• Excellent communication, collaboration, execution capabilities, and keen business acumen.
• Passionate about games and the gaming industry.
1. Please submit a personal list of gaming experience as part of the application.
