Data Scientist
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El puesto
You will develop and implement data science models and algorithms to detect fraud across platforms.
Analyze and interpret complex datasets while ensuring data quality and integrity.
Collaborate with stakeholders to define data requirements and translate findings into actionable insights.
Optimize data processes for efficiency, performance, and scalable model deployment.
Apply supervised and unsupervised ML techniques (regression, classification, clustering, anomaly detection) for business decisions.
Monitor risk metrics, build real-time dashboards and alerts, and communicate results to cross-functional teams.
Analyze and interpret complex datasets while ensuring data quality and integrity.
Collaborate with stakeholders to define data requirements and translate findings into actionable insights.
Optimize data processes for efficiency, performance, and scalable model deployment.
Apply supervised and unsupervised ML techniques (regression, classification, clustering, anomaly detection) for business decisions.
Monitor risk metrics, build real-time dashboards and alerts, and communicate results to cross-functional teams.
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