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

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.)