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.