Data Scientist, Post Purchase Experience - TikTok Shop

关于这个机会

About the team: Governance and Experience(GNE) Data Science team works closely with the GNE ops teams in each region, is aiming to support the GNE ops team to make TikTok shop a safe and trustworthy platform for customers, sellers and influencers. What you can get here is totally different from a pure shelf-based e-commerce business model. Join us, and let's change the way people shop online! Responsibilities: - Set up the metrics to measure governance and experience(GNE) operation activities, including management of risk, fraud and abuse, as well as experiences from sellers, customers and creators; - Responsible for justifying post purchase (Aftersales) strategy in a scientific way, work closely with the business teams to figure out the goals in both short term and long term; - Monitoring the key metric changes, and deep dive for the reason behind. Highlight the key insights to business partners with timely response; - Proactively generate insights and data solutions for business partners to achieve the business goal; Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact .

任职要求

Minimum Qualifications: - At least 2 years of working experience in data science - Proficient in SQL, Python or R, and data visualization tools; - Expertise in at least one of the three areas: advanced measurement (e.g causal inference or systems with complex trade-offs), modeling, and optimization. Preferred Qualifications: - A Bachelor's degree or above, majoring in quantitative field statistics is preferred; - E-commerce or online marketplace customer experience/post purchase experience is strongly preferred; - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies; - To succeed in the role, you need to be a proactive, self-driven and impact-driven person; - Be able to work with cross-functional teams in a fast-paced environment.

内推申请说明

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