เกี่ยวกับตำแหน่งงาน

Job Description - Collect, clean and prepare telecom datasets (subscriber records, usage, billing, sale, and network KPIs) and perform exploratory data analysis (EDA) to identify patterns, drivers and features. - Develop and validate ML models (classification, regression, clustering) for churn, sales/ARPU prediction, KPI forecasting and anomaly detection, and Implement feature engineering, data validation checks and reproducible training pipelines. - Deploy models and pipelines to production using MLOps best practices; implement monitoring and retraining flows. - Lead model governance activities: interpretability, bias checks, performance monitoring and documentation. - Create dashboards and presentations to communicate insights and business impact to stakeholders and executives. - Translate business objectives into measurable ML success criteria and collaborate to prioritize work. Requirements

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