Found Description
Responsibilities
- Perform deep‑dive statistical analysis and build machine learning models for tasks such as classification, regression, clustering, and recommendation.
- Design, develop, and maintain scalable and efficient data pipelines to automate data collection, cleaning, and feature generation.
- Collaborate with business stakeholders or cross‑functional teams to define problems, identify key metrics, and present data‑driven recommendations.
- Develop and implement A/B testing frameworks to validate hypotheses and measure model impact.
- Work with AI Engineers to prepare models for production, providing clean code and well‑engineered features.
- Implement governance, quality checks, and compliance standards (PDPA).
- Provide insights to business units through advanced analytics and visualization.
Requirements
- Advanced degree (Bachelor or Master’s) in Statistics, Mathematics, Compu...
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