Senior Game Security Data Scientist
Build and refine ML models to detect cheating and abnormal behavior in Krafton’s games using large-scale player data and logs.
- Compensation
- $154K–$211K / yr
- Location
- El Segundo, CA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Degree in Machine Learning, Deep Learning, Statistics, Computer Science, or equivalent practical experience
- 5+ years of ML-based modeling (anomaly detection, classification, prediction, pattern analysis) in gameplay environments
- Python and SQL for analyzing large-scale log/event data
- End-to-end data workflow: log cleansing, feature engineering, training data construction, model evaluation
- Understanding of ML/DL model structure and ability to improve models for objectives
- Feature engineering with focus on data quality, reproducibility, and scalability
- Quantitative model performance evaluation (false positives/negatives) and improvement direction
- Ability to define problems independently and drive improvements based on data
Nice to have
- Experience using game data for Anti-Cheat, cheating/abuse detection, or abnormal behavior analysis
- Gameplay experience in FPS/TPS, battle royale, or MMORPG, or understanding of their data characteristics
- Detecting abnormal patterns from user behavior data and improving models/detection logic
- Processing large-scale log data and building/operating ML pipelines
- Experience with Spark, Hadoop, or large-scale data platforms
- Collaboration with global teams or communication skills in Korean/second language
Full description
THE COMPANY
KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience, crafted by our globally recognized production studios known for their distinctive creativity. We continuously push the boundaries of gaming enjoyment by embracing new challenges and technologies and expanding our platforms and services to captivate an even larger fan base. Best known for the genre-defining worldwide sensation PUBG: Battlegrounds, our stellar studios based across the globe include PUBG Studios, Striking Distance Studios, Unknown Worlds, Bluehole Studio, RisingWings and more. In collaboration with our passionate and driven team, we strive to establish ourselves as a renowned creator of masterpieces in the global gaming market.
THE OPPORTUNITY
We are looking for a Senior level Game Security Data Scientist to 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.
DUTIES
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.
You will 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.
RESPONSIBILITIES
- 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
- Design and visualize metrics to improve KSS detection and operational efficiency
- Collaborate with game studios, security engineers, and other stakeholders
- Evaluate detection model performance, analyze false positives and false negatives, and improve model quality
QUALIFICATIONS
- Degree in a related field such as Machine Learning, Deep Learning, Statistics, or Computer Science, or equivalent practical experience
- 5+ years of experience with ML-based modeling projects such as anomaly detection, classification, prediction, or pattern analysis within a gameplay environment. Experience using game data for Anti-Cheat, cheating/abuse detection, or abnormal behavior analysis.