Responsibilities:

• 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.

Requirements:

• M.S., or Ph.D. 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.