> Markdown version of [/jobs/ext/1500494-game-security-data-scientist](https://www.wearedevelopers.com/jobs/ext/1500494-game-security-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Game Security Data Scientist

- **Company:** Krafton Inc.
- **Location:** El Segundo, CA, United States
- **Experience:** Expert
- **Salary:** $154,000.0 - $211,000.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Data Analysis, Big Data, Cyber Security, Data Cleansing, Apache Hadoop, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Pattern Recognition, SQL Databases, Feature Engineering, Apache Spark, Deep Learning, Model Validation, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=58b999eb5690ded7

## About the Role

* 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
 * Ability to quantitatively evaluate model performance and identify improvement directions from the perspective of false positives and false negatives
 * Ability to define problems independently and drive improvements based on data, * Experience using game data for Anti-Cheat, cheating/abuse detection, or abnormal behavior analysis
 * 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

## Description

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., * 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


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation)
- [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity)
- [Let's Get Aggregated: Custom UDAFs in Spark  ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark)

## Related Articles

- [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree)
- [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [9 Ways to Make Money Hacking](https://www.wearedevelopers.com/magazine/333-9-ways-to-make-money-hacking)
- [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)
- [John Romero - What AI Can, Can’t, and Shouldn’t do for Games](https://www.wearedevelopers.com/magazine/478-john-romero-what-ai-can-can-t-and-shouldn-t-do-for-games)