Collaborate with the business team for game data collection, extraction, modeling, mining and analysis
Build systems to analyse business indicators based on different game types, build and improve on daily BI reports
Analyze and research on business data, write analysis reports and provide data support for business decisions
Apply machine learning and other technologies to build game intelligence systems, including but not limited to recommendation systems, user portraits, anti-hack, etc.
Responsible for massive data processing and building efficient data pipeline on distributed computing platform
Develop and maintain relevant data platforms and tools
Job Requirements
Bachelor\'s or higher degree in science and engineering such as computer science, mathematics, statistics, telecommunications, etc.
Familiar with big data tools such as Hadoop, Hive, Spark, Kafka, Druid, Flink etc.
Familiar with at least one programming language commonly used in data engineering, such as Java, Scala, Python, etc., have a solid coding foundation and is familiar with Linux platform
Proficient in the holistic process of machine learning projects, familiar with commonly used machine learning, deep learning and data mining algorithms and frameworks
Familiar with data visualization principles and tools
Sensitive to data and keen on using data to drive business and support decision-making