Game Data Scientist

London, England, United Kingdom · London Mobile


Key Deliverables

  • Build predictive models including, but not limited to, social behaviour, retention, monetization and anti-social behaviour.
  • Create customer segments that inform the product teams to make the optimal decisions.
  • Use external data to build large-scale sentiment analysis models.
  • Suggest data driven changes to game systems to drive desired player behaviour.
  • Modelling the impact of game systems and player behaviour on monetization metrics.
  • Identify opportunities and optimizations through in-depth data analysis.
  • Define, follow, analyze and improve the business KPIs and provide reporting on an ongoing basis.
  • Together with technical teams, gather requirements to improve our existing in-game tracking infrastructure.

  • Key Stakeholders

    Product Management, Game Design, Engineering, Analytics.

    Reports to

    Product Lead / Senior Manager Analytics


    Knowledge and Experience



    Competencies, Skills and Attributes



    Please note that Square Enix does not accept speculative candidate submissions from recruitment agencies.

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