About The Position

The Data Science team partners with marketing, analytics, and digital optimization teams to develop advanced analytical solutions that improve marketing effectiveness and customer engagement. This role focuses on applying statistical modeling, experimentation, and machine learning techniques to understand customer behavior across the marketing and digital customer journey. Insights generated from this work help guide marketing strategy, customer targeting, and investment decisions. The position operates within a modern analytics environment leveraging Amazon Redshift, AWS SageMaker, and AWS CodeCommit to build scalable analytical workflows and production-ready models. We are seeking a Senior Data Scientist with strong statistical expertise to develop analytical frameworks, predictive models, and experimentation strategies that support marketing optimization and customer journey analysis. The role requires a strong understanding of statistical inference, causal analysis, and predictive modeling to help translate business questions into rigorous analytical solutions. The candidate should be comfortable working with large datasets, building scalable models, and communicating analytical insights to cross-functional teams. This position requires collaboration with marketing strategy, digital optimization, and analytics teams to ensure analytical insights are effectively integrated into business decision-making.

Requirements

  • strong statistical expertise
  • strong understanding of statistical inference
  • causal analysis
  • predictive modeling
  • comfortable working with large datasets
  • building scalable models
  • communicating analytical insights to cross-functional teams
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