ลักษณะงาน- Develop state-of-the art machine learning models to solve real-world problems and apply it to time-series prediction tasks. - Manage a team of data scientist, data engineer, and machine learning engineer and collaborate closely with development team to meet business requirement and drive business growth. - Collaborate with multiple partner teams such as Business, Technology, Product Management, Compliance, Strategy and Business Management to deploy solutions into production. - Conceive, plan and prioritize the data projects. - Develop processes and tools to monitor and analyze data accuracy and models’ performance. - Communicate insights and solutions to business users. - Resolve customer complaints with software and respond to suggestions for enhancements.
การศึกษา- Advanced degree in Computer Science, Computer Engineering, Machine Learning, Mathematics, Statistics or related field.
คุณสมบัติ- Proven experience as a lead data scientist or similar role. - Proven ability to build, validate, test, and deploy AI models and algorithms for real-world problems. - Significant proficiency in analytical skills. - Strong background in mathematics. - Experience in deployment of machine learning and statistical models on a cloud environment. - Self-driven with willingness to learn and improve, outstanding structural thinking skills, and ability to work under pressure. - Strong organizational and leadership skills. - Good communication skills to explain data science / ML solutions to non-technical people. - Knowledge in retail business is a plus. - Experience in reinforcement learning and / or time-series prediction model is an advantage. - Strong written and communication skills in English. - Able to work at Chaengwattana **Interested candidates, please submit your CV to email@example.com or apply online at http://job.cpall.co.th
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