[Publishing Platform Div.] Game Security Data Scientist (7년 이상)

Posted 3 days ago

or apply directly on KRAFTON's site. We never take the application ourselves.

Is this posting real?

This role has been open: 3 days
Reposted: No
Salary listed: No
Ghost-job risk at KRAFTON: high
Hiring momentum: 107 roles opened in the last 90 days
Last confirmed on the employer's board: 2026-10-23

Measured from postings appearing on and disappearing from KRAFTON's own greenhouse board since 2026-08-03. Full hiring picture for KRAFTON.

About this role

As a Game Security Data Scientist at KRAFTON, you will develop and enhance machine learning models to detect abnormal behavior and cheating in games. Your role involves analyzing large volumes of game logs and user behavior data, improving detection model performance, and collaborating with game studios and security engineers to support security operations and response strategies.

Our read on this posting2.8out of 5

benefits: 1/5
freshness: 5/5
career value: 4/5
role clarity: 4/5
pay transparency: 0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of KRAFTON as an employer.

What you need

Degree or equivalent practical experience in Machine Learning, Deep Learning, Statistics, Computer Science, or related fields
Experience in ML-based modeling projects involving anomaly detection, classification, prediction, and pattern analysis
Proficiency in analyzing large-scale logs/event data using Python, SQL, etc.
Understanding of data flow including data cleaning, feature engineering, training data composition, and model evaluation
Experience in improving machine learning/deep learning models according to specific objectives
Ability to quantitatively evaluate model performance and derive improvement directions from false positives/negatives

Nice to have

Experience in anti-cheat, cheating/abuse detection, and anomaly behavior analysis using game data
Familiarity with various game genres such as FPS/TPS, battle royale, MMORPG, etc.
Experience in detecting abnormal patterns based on user behavior data and improving models/detection logic
Experience in processing large-scale log data and building/operating ML pipelines
Familiarity with large data platforms like Spark, Hadoop, etc.

Worth weighing

No salary listed
5-month probation period with potential for early termination based on evaluation
Application process includes multiple interview stages and assessments
Position is a specialized contract role

Summarised from KRAFTON's posting. Read the full original.

Listed by KRAFTON on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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