Evaluate analytical models and assess their performance.
Compare models and help determine which should be prioritized for implementation.
Coordinate model implementation and deployment activities.
Manage timelines, requirements, deliverables, dependencies, and project progress.
Work with data science, modeling, technology, and business teams.
Analyze model results and translate findings into clear recommendations.

🎯 Requirements

3+ years of Data Science experience.
3+ years of Data Modeling experience involving model implementation, deployment, and evaluation.
3+ years of Project Management experience.
3+ years of Analytics experience.
Experience with fraud analytics or fraud models.
Experience building or deploying fraud detection rules.

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