Data Scientist, Audience Analytics
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The role
Analyze customer data across a game portfolio to generate actionable insights that inform marketing and product decisions.
Build, deploy, and monitor machine learning models to predict player behavior and optimize engagement.
Serve as the primary interface for marketing stakeholders, translating needs into data-driven projects and measurable outcomes.
Create and share data insights and audience-centric tools to support decision-making and value creation.
Lead data science initiatives, share best practices, and advance methodologies within the team.
Develop scalable data pipelines on lakehouse platforms (Databricks, Snowflake) with a focus on governance and reproducibility.
Build, deploy, and monitor machine learning models to predict player behavior and optimize engagement.
Serve as the primary interface for marketing stakeholders, translating needs into data-driven projects and measurable outcomes.
Create and share data insights and audience-centric tools to support decision-making and value creation.
Lead data science initiatives, share best practices, and advance methodologies within the team.
Develop scalable data pipelines on lakehouse platforms (Databricks, Snowflake) with a focus on governance and reproducibility.
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