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Data Scientist - Game Security
Data Scientist - Game Security
The Data Scientist - Game Security will be responsible for conducting data mining and developing machine learning models to address various security risks in gaming products. This role involves collaborating with business units to analyze user behavior and design effective security strategies.
About the role
About the Team
Our team is committed to building comprehensive gaming security systems to cover and solve various security risks in the entire lifecycle of game development and operation. Rooted from years of experience in fighting underground hackers, we offer professional products, solutions and services to create excellent gaming experience for our players.
Responsibilities
- Conduct data mining and develop machine learning models to address security risks in gaming products, including account security (e.g., fake accounts, account takeovers), anti-cheat systems, and anti-studio measures.
- Collaborate closely with business units to analyze user behavior and design effective security strategies to mitigate gaming-related risks.
Minimum Qualifications
- Bachelor’s degree or above in Computer Science, Computer Engineering, Information Systems, or related fields.
- Solid understanding of machine learning models such as classification, clustering, image processing, and deep learning; proven experience with related projects is a strong advantage.
- Proficient in Python, with hands-on experience in at least one big data framework (Hadoop, Hive, Spark, or Flink); skilled in SQL/HSQL.
- Proactive, analytical, and able to work independently to solve complex problems; eager to learn and explore emerging technologies.
Preferred Qualifications
- Familiar with security strategies and practices; prior experience in risk control is highly desirable.
- Experience in AI/LLM technologies is a plus.
Skills
Data MiningMachine LearningClassificationClusteringImage ProcessingDeep LearningPythonHadoopHiveSparkFlinkSQLHSQLAiLlm