Senior Data Scientist
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The role
Lead end-to-end data science initiatives at the intersection of experimentation, engineering, and product impact.
Build and deploy production-grade models for recommendations, personalization, and fraud detection.
Develop scalable data pipelines and automated ML systems that convert large datasets into actionable signals.
Tackle unstructured data and build advanced models to extract valuable insights about users and the business.
Perform time series analysis and forecasting to inform key business and operational metrics.
Communicate findings with stakeholders, prioritize work, and align analytics with strategic goals.
Build and deploy production-grade models for recommendations, personalization, and fraud detection.
Develop scalable data pipelines and automated ML systems that convert large datasets into actionable signals.
Tackle unstructured data and build advanced models to extract valuable insights about users and the business.
Perform time series analysis and forecasting to inform key business and operational metrics.
Communicate findings with stakeholders, prioritize work, and align analytics with strategic goals.
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