Senior Data Scientist

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.