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Designing, developing, and evaluating machine learning models on complex telecom and retail data to transform high-volume datasets into production-ready solutions such as churn prediction models to drive retention offers or point-of-sale fraud models to cut first-payment defaults...

• Understanding and aligning with business needs, identifying related data requirements
• Participating in technical pre-sales activities, including effort estimation, and proposal creation
• Architecting and planning robust data models and modern data platforms