Build and operate COLOPL game infrastructure, automate Kubernetes clusters and Operators, assess new features, optimise network performance and troubleshoot with eBPF.
About this role
COLOPL’s data-science group supports game development and operation with evidence for product decisions. The role starts in areas suited to the applicant’s experience and connects analysis with changes to gameplay, revenue and organisational decision-making.
Work includes player-behaviour and causal-factor analysis, KPI design/monitoring, event evaluation and proposals with product teams. Generative AI/LLMs support survey-text analysis and efficiency. Depending on skills and interests, later work may include behavioural models, game-economy optimisation, cross-title data strategy or team leadership.
Applicants need hypothesis-led verification, logical conclusions from data, large-data extraction/aggregation using SQL or tools such as BigQuery, recommendations beyond reports, and cross-department delivery of useful analytical outputs. Strong interest in games or entertainment is also required.
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