Data Scientist - TikTok Local Services (San Jose)

About the Team TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in the market. Responsibilities - Build and improve the operational data infrastructure for TikTok local services. This includes managing both online and offline activities, video-merchant matching processes, transaction processes, search/recommendation modules, traffic monitoring, and supply monitoring. Ensure data accuracy and alignment with business scenarios. - Develop a deep understanding of the impact of operational activities on transaction conversion rates and scientifically calculate the contribution of each activity to transaction improvements across various industries. - Regularly monitor key metrics, clearly identify reasons for metric fluctuations, and provide optimization and improvement suggestions. - Enhance communication with the business team, regularly produce analysis reports, and proactively help the business identify potential growth opportunities. Minimum Qualifications - Bachelor’s degree in a data science related field - 3+ years of work experience in data science or data science related field - Background in data-related fields such as statistics, computer science, business analytics, or quantitative analysis - Strong curiosity, the ability to proactively understand business needs, quickly grasp business logic, and translate it into data-driven problems - Experience in creator and content ecosystem analysis - Proficiency in Chinese and English is required to collaborate with global partners and key stakeholders based in Mandarin-speaking markets, where Mandarin is a primary working language Preferred Qualifications - Excellent communication and coordination skills - Ability to collaborate effectively across departments - Strong sense of ownership, responsibility, and teamwork - Industry experience related to local services (dine-in, online order, travel ota) and ops strategy/sales management analysis - Experience in model development (causal inference, data mining, etc.)