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.
Actively enrolled university student.
Bachelor's degree or above, Computer Science, Data Science, Information Management, Statistics, Mathematics, Management Science or related disciplines are preferred.
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Providing ad-hoc analysis and insights to support business decision-making, ensuring safety operations strategies are data-driven and aligned with business priorities
Document and present findings to stakeholders to drive actionable outcomes
Providing ad-hoc analysis and insights to support business decision-making, ensuring safety operations strategies are data-driven and aligned with business priorities
Document and present findings to stakeholders to drive actionable outcomes
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.
Undergraduate or above, majoring in Computer Science, Statistics, Mathematics, Accounting, Business Analysis or related majors.
Good communication, collaboration and execution skills, careful and meticulous in work, able to complete tasks assigned by the team efficiently.
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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.
Bachelor’s degree or above in Mathematics, Statistics, Computer Science, Business Analytic, or related fields (or post-graduation experience in data modeling/analysis).
Proficient in SQL and Tableau; skilled in Python/R for data analysis, model building, and visualization.
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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.
Strategy Analysis & Performance Evaluation
Monitor key logistics risk metrics and evaluate the effectiveness of existing risk control strategies through data analysis. Identify coverage gaps and recommend optimization opportunities to improve recall, precision, and operational efficiency.
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