TikTok Shop - Data Scientist - Governance and Experience Data Science (SEA Experience)
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.The e-commerce data science team aims to maximize the efficiency of e-commerce transactions through quantitative techniques such as mathematical statistics and machine learning. At the same time, we are committed to building a more diverse, inclusive, candid and efficient working atmosphere. We sincerely invite excellent data scientists to join us in building a first-class e-commerce platform. Responsibilities:1. Measuring and monitoring customer experience key metrics in Southeast Asia region, such as NPS, CPO and PARR etc.;2. Collaborating with stakeholders closely to find RCA and action plans;3. Sorting out and establishing customer experience metrics systems, effectively discovering related problems, and providing solutions to business partner;4. Conducting deep analysis about seller and customer experience, to explore more opportunities in repurchase, retention and conversion;5. Designing a/b experiment for effectiveness improvement and ROI calculation, conducting analysis to optimize strategies. Minimum Qualifications:1. Bachelor degree or above, major in science or engineering or engaged in data statistics, analysis, modeling related working areas after graduation;2. Proficient in SQL, can use Python or R for data analysis;3. Able to write required documents in English and communicate with global staff;4. Have good learning ability with curiosity to pick up domain knowledge in new areas quickly; Can lead a small project team to support business;5. Have strong ability to work under pressure and overcome challenges. Preferred Qualifications:1. Experience in e-commerce business and analysis is preferred;2. Overseas business experience or analytical experience is preferred;3. Major in mathematics, statistics, computer is preferred.