Job SummaryRole and Responsibilities / หน้าที่ความรับผิดชอบApply statistical and machine learning methods to analyze large and complex datasets, providing insights and actionable recommendations in customer acquisition, segmentation, and personalized marketing areas.Collaborate with engineering and business teams to implement end-to-end process from model development to testing, validation, deployment.Plan and conduct A/B testing to verify model performance and assess the effectiveness of the campaign for future enhancement.Solve complex issues on both technical and business sides using advanced analytical techniques.Qualifications / คุณสมบัติ0-3+ years of professional experience as a Data Scientist/ML EngineerProficiency in SQL and Python (or PySpark)Good understanding and hand-on experience in ML model development (e.g. classification/regression, tree-based model, clustering, SVMs, PCA) Strong analytical and problem-solving skillsGood communication and interpersonal skills to effectively interact with cross-functional teamSpecific knowledge and skill / ความรู้เฉพาะตำแหน่งSolid understanding of financial industryComprehensive knowledge of advanced statistical methods and machine learning practicesExceptional coding skills or a background in software developmentAbility to articulate complex concepts effectively to a non-technical audienceStrong sense of responsibility and teamwork
