Senior Data Scientist - Global E-commerce, Supply Chain & Logistics - Global E-Commerce Supply Chain and Logistics

What you'll do

• Develop and productionize AI-agent solutions for data analysis, decision support, monitoring, and insight generation, with evaluation standards and human oversight.
• Build analytics and models for forecasting, fulfillment and transportation optimization, network planning, anomaly detection, and simulation.
• Use experimentation and causal inference to evaluate strategies and operational programs, and work cross-functionally to turn findings into implemented decisions.

What they ask for

• Bachelor’s degree or higher in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Operations Research, Economics, or Engineering.
• 5+ years of industry experience in data science, applied machine learning, quantitative analytics, operations research, or a related field.
• Hands-on experience applying large language models or AI agents to analytical or operational workflows, including tool use, orchestration, evaluation, monitoring, and failure handling.
• Strong proficiency in SQL and Python or R; experience with complex datasets and reproducible analytical or modeling pipelines.

Nice to have

• Master/Doctoral degree in a quantitative field.
• Experience in e-commerce, supply chain, logistics, marketplace, fulfillment, transportation, or network optimization.

Tools

SQL, Python, R, Spark, Hive, Flink

AI focus

Leads adoption of AI agents and LLMs in analytical and operational workflows, including agentic data discovery, analysis, decision support, and monitoring; emphasizes evaluation, guardrails, human oversight, and responsible production use.