Data science jobs in Computer Games industry
Data Science in Computer Games
Games companies generate rich player behavioural data and use data science for player retention modelling, dynamic difficulty adjustment, monetisation optimisation, anti-cheat detection, and personalised content recommendation.
Common roles
Games data scientists, player experience analysts, live operations ML engineers, economy balance analysts, and data engineers building real-time event pipelines from game telemetry are active roles.
Key skills
Python, SQL, Spark, A/B experimentation frameworks, survival analysis for player retention, reinforcement learning for game AI, and experience with game analytics platforms (Amplitude, Mixpanel, custom event stores) are core.
Machine Learning Engineer
Senior Data Engineer
Machine Learning Developer - AI/ML
Senior Data Engineer
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DATA ENGINEER
Celonis Data Engineer
