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KRAFTON

Develops and publishes cross-platform games

Game Security Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listed

About the Job

Requirements

  • A degree in a related field such as machine learning, deep learning, statistics, or computer science, or equivalent practical experience.
  • Experience with machine-learning-based modeling projects involving anomaly detection, classification, prediction, or pattern analysis.
  • Ability to analyze large-scale logs and event data using Python and SQL.
  • Understanding of the data workflow, including log-data cleaning, feature engineering, training-data preparation, and model evaluation.
  • Experience understanding and improving machine-learning or deep-learning models to fit their objectives.
  • Ability to perform feature engineering with data quality, reproducibility, and scalability in mind.
  • Ability to quantitatively evaluate model performance and identify improvements based on false-positive and false-negative analysis.
  • Ability to independently define problems and make data-driven improvements.

Responsibilities

  • Develop and improve machine-learning 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 responses.
  • Design and visualize metrics to improve KSS detection and operational efficiency.
  • Collaborate with game studios and security engineers.
  • Evaluate detection-model performance and analyze and reduce false positives and false negatives.

Desired Qualifications

  • Experience using game data for anti-cheat, cheating or abuse detection, or anomalous-behavior analysis.
  • Gameplay experience with or understanding of data characteristics in FPS/TPS, battle royale, MMORPG, or other game genres.
  • Experience detecting abnormal patterns in user behavior data and improving models or detection logic.
  • Experience processing large-scale log data and building or operating machine-learning pipelines.
  • Experience using or understanding large-scale data platforms such as Spark and Hadoop.
  • Experience collaborating with global organizations or studios, or ability to communicate in English or another foreign language.

About the Company

KRAFTON

Develops and publishes cross-platform games

Krafton is a group of independent game studios that develops and publishes video games for PC, console, and mobile. Its business model centers on delivering high-quality games and monetizing them through game sales, in-game purchases, and licensing deals, with PUBG as a flagship title. Krafton differentiates itself by coordinating a network of studios and investing in technology and publishing support rather than relying on a single in-house studio, enabling a diverse catalog and esports initiatives. Its goal is to push the boundaries of gaming and connect people through shared entertainment moments across platforms.

Company size
51-200
Company stage
IPO
Headquarters
Seongnam-si, South Korea
Founded
2007

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