增长数据科学家（度量方向）-TikTok（上海）
Core
Build statistical models and causal inference frameworks to solve product and business growth challenges, specifically focusing on LTV prediction and user-level decision support.
Role type
Senior growth data scientist (metrics & causal inference)
Builds
User growth strategies, LTV prediction models, and cross-product analytical paradigms
Domain
Consumer social media / User growth analytics
Deliverable
production ML models
Required skills
Statistical modeling (regression, classification, clustering, causal inference), Machine learning (deep learning), User-level modeling, Project decomposition, ROI modeling, Mathematical foundation
Preferred skills
Growth analysis experience, Cross-functional collaboration
Technologies
Statistical modeling frameworks, Deep learning libraries
Responsibilities
Develop and improve statistical models for LTV prediction and causal inference; Design and analyze statistical metric experiments to support product strategy; Collaborate with product, operations, and engineering teams to drive product development based on analytical insights; Establish cross-product analysis paradigms to identify common issues; Independently define and execute complex analytical projects.
