Data Scientist — AI for Personalisation & Player Engagement

Ubisoft Entertainment

Singapore

Presencial

SGD 90.000 - 150.000

Jornada completa

14 días+

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Descripción de la vacante

Ubisoft Singapore is seeking a Data Scientist to join the Asia Intelligence team. The role focuses on shipping AI-powered products, working closely with engineers, analysts, and stakeholders to design, build, and evolve models currently in production and growing in ambition.

You will deliver end-to-end, from data exploration to production deployment, prioritizing measurable impact and scalable solutions across live titles and player engagement contexts.

Formación

  • Applied ML experience delivering models to production.
  • Strong collaboration across engineering, analytics and product teams.
  • Experience with personalization engines, recommender systems, or player decisioning.
  • Interest in games, entertainment, or consumer products is a plus.

Responsabilidades

  • Design, build, and maintain ML models and AI products deployed in production with measurable value.
  • Contribute to personalization, segmentation, and propensity scoring initiatives impacting retention and engagement.
  • Support the development of AI agent architectures and scalable automation workflows.
  • Translate stakeholder needs into pragmatic, well-scoped solutions balancing speed and robustness.
  • Collaborate with data analysts, data engineers, and product stakeholders to ensure models are integrated and actionable.

Conocimientos

SQL
PyTorch
Databricks

Herramientas

Databricks
Snowflake
Git

Descripción del empleo

Ubisoft Singapore is seeking a Data Scientist to join the Asia Intelligence team. The role focuses on shipping AI-powered products, working closely with engineers, analysts, and stakeholders to design, build, and evolve models currently in production and growing in ambition.

You will deliver end-to-end, from data exploration to production deployment, prioritizing measurable impact and scalable solutions across live titles and player engagement contexts.

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