Game Security Data Scientist
KRAFTON Americas · El Segundo, CA
Posted about 3 months ago · $154,000-$211,000
or apply directly on KRAFTON Americas's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 88 days KRAFTON Americas's roles stay open a median of 88 days
- Reposted
- No
- Salary listed
- Yes 100% of KRAFTON Americas's roles list one
- Ghost-job risk at KRAFTON Americas
- high 7 stale, 0 reposted of 7 open
- Hiring momentum
- 10 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-30
Measured from postings appearing on and disappearing from KRAFTON Americas's own greenhouse board since 2026-08-03. Full hiring picture for KRAFTON Americas.
About this role
The Senior Game Security Data Scientist at KRAFTON will focus on developing and enhancing machine learning models to detect cheating and abnormal behavior in games. This role involves analyzing large-scale game logs and user behavior data, improving detection model performance, and collaborating with various stakeholders to ensure a secure gameplay environment. The position requires a strong background in data analysis and machine learning within a gaming context.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 Americas as an employer.
What you need
- 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
- Ability 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
- Experience understanding the structure of machine learning/deep learning models and improving models according to their objectives
- Ability to perform feature engineering with consideration for data quality, reproducibility, and scalability
Nice to have
- Gameplay experience in various game genres such as FPS/TPS, battle royale, or MMORPG, or understanding of the data characteristics of these genres
- Experience detecting abnormal patterns based on user behavior data and improving models or detection logic
- Experience processing large-scale log data and building or operating ML pipelines
- Experience using, or understanding of, large-scale data platforms such as Spark and Hadoop
- Experience collaborating with global organizations/studios, or communication skills in Korean or a second language
Worth weighing
- No specific benefits listed
- Salary range provided, but actual pay may vary based on experience and other factors
- Role involves collaboration with various stakeholders, which may require strong communication skills
Summarised from KRAFTON Americas's posting. Read the full original.
Listed by KRAFTON Americas on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.
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