Providing ad-hoc analysis and insights to support business decision-making, ensuring safety operations strategies are data-driven and aligned with business priorities
Agentic Recommendation System: Explore the application of LLMs in data analytics, covering user behavior analysis, crowd segmentation, customer acquisition analysis, growth analytics and profitability analysis, and advance the implementation of the new paradigm of Agentic Data Analysis.
Design and implement A/B experiments to evaluate model/strategy effectiveness, calculate ROI of anti-fraud initiatives, and scale high-impact solutions across global markets.
Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Assist in building and maintaining data pipelines, performing data extraction and transformation across structured and unstructured datasets to identify trends, anomalies, and potential risks.
Cooperate with the team to complete the data collection and collation of weekly and monthly reports, assist in business review meetings, and provide basic data support.
Knowledge accumulation and experience sharing engage in cross-department communication, compile meeting minutes and action items, and drive task execution and closure. Document project experience, encountered problems and corresponding solutions to build reusable team knowledge assets.
Conduct in-depth investigations into logistics risk scenarios, including fake tracking, postage fraud, and compensation abuse. Summarize fraud patterns and support the continuous evolution of risk strategies.