Hiring: Game Security Data Scientist Company: KRAFTON Inc. Location: El Segundo, CA Job Posted Time: 2026-09-10 13:33:37 Target Skills & Keywords : Deep Learning, Hadoop, Machine Learning, Python, SQL, Spark About the job Experience: •5+ years of experience with ML-based modeling projects such as anomaly detection, classification, prediction, or pattern analysis within a gameplay environment Required Skills: •We develop, apply, and operate game security solutions and security operations systems to create a trusted gameplay environment for KRAFTON games. •Centered around KRAFTON Security Services (KSS), we provide core capabilities and services required for game security, including Anti-Cheat, Anti-Tamper, security operations, data analysis, and ML-based detection. •Enhance the data analytics and ML-based detection capabilities provided by KSS, and develop models that can quickly and accurately detect and classify abnormal behavior and cheating in games. •Analyze large-scale game logs and user behavior data, improve the performance of detection models, and support the effective use of detection results in security operations and enforcement response. •Develop and improve ML models to detect abnormal user behavior and cheating in games •Detect anomalies by analyzing large-scale game logs, user behavior data, and security events •Analyze cheating patterns, identify detection features, and design and enhance detection logic •Support data analysis for security operations and enforcement response Qualifications: •Degree in a related field such as Machine Learning, Deep Learning, Statistics, or Computer Science, or equivalent practical experience •Demonstrated capacity to analyze large-scale log and event data using Python, SQL, or similar tools •Understanding of the end-to-end data workflow, including log data cleansing, feature engineering, training data construction, and model evaluation •Demonstrated capacity to perform feature engineering with consideration for data quality, reproducibility, and scalability •Demonstrated capacity to quantitatively evaluate model performance and identify improvement directions from the perspective of false positives and false negatives •Demonstrated capacity to define problems independently and drive improvements based on data •Gameplay experience in various game genres such as FPS/TPS, battle royale, or MMORPG, or understanding of the data characteristics of these genres Compensation: •$154,000 - $211,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!