Game Security Data Scientist
KRAFTON Americas · El Segundo, CA
$154,000–$211,000from the description
Jul 23, 2026
El Segundo, CA
Jul 25, 2026
What this job asks for AI summary
This role sits within KRAFTON's internal security team, focused on building and refining machine learning models that detect cheating and abnormal player behavior across KRAFTON's game titles. Day-to-day work involves analyzing large-scale game logs, engineering features, training and evaluating detection models, and supporting security operations with data-driven insights. It suits candidates with a background in applied ML, anomaly detection, or data analysis — ideally with some familiarity with gaming contexts.
Mid level · Los Angeles-Long Beach-Anaheim, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 95 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 55–140
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,593 (middle half $93,359–$172,124). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The salary range ($154,000–$211,000/year) is stated specifically for California; the posting does not name a city, but KRAFTON Americas' US presence and the California-specific pay disclosure point to the Los Angeles metro where Striking Distance Studios is headquartered. The actual work location is not explicitly stated.
The degree requirement accepts 'equivalent practical experience' as a substitute for a formal degree, so no minimum degree is hard-gated.
Python and SQL are listed together as interchangeable large-scale log analysis tools ('Python, SQL, or similar tools') in the qualifications block; they are captured as a mutual-alternative pair rather than separate hard gates.
Spark and Hadoop appear only under Preferred Qualifications ('experience using, or understanding of, large-scale data platforms such as Spark and Hadoop') and are therefore preferred.
The alt SOC (15-1299) reflects that this role blends data science with game-security/anti-cheat engineering; 15-2051 is the stronger fit given the primary emphasis on ML modeling, anomaly detection, and statistical analysis.
No overall years-of-experience requirement is stated in the posting.
Read the full posting
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