# Data Scientist, AI Program, CNGS NBS (New Business & New Seller) Amazon Business at Amazon

Amazon is hiring a Data Scientist, AI Program, CNGS NBS (New Business & New Seller) Amazon Business in Shanghai, China. Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/958a3e39-3757-46cb-86bc-b3d8f664edc9?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. CN, 31, Shanghai.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 85 out of 100)
- Location: CN, 31, Shanghai
- Posted: September 3, 2026
- Apply: https://jobsbylevel.com/go/958a3e39-3757-46cb-86bc-b3d8f664edc9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-scientist-ai-program-cngs-nbs-new-business-new-seller-amazon-business-at-amazon-7a3a56

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## Description

Team & Project Overview The NBS Data Central team powers analytics, data science, and AI capabilities for Worldwide Global Selling (WWGS). We build scalable data products, and insight-generation systems that drive seller growth across 10+ marketplaces. Seller Intelligence is a P0 foundation theme at the Global Selling level, formed by merging "One Tagging" and "Good Contact" workstreams. It provides seller identity, segmentation, and contact-reach infrastructure that underpins all downstream seller-facing AI workflows — including intelligent outreach, personalized recommendations, and automated engagement. Scope of Impact Own the science pillar for Seller Intelligence within a cross-functional POD (PM + DE + DS + SDE) Directly impact seller engagement metrics across CN, IN, LATAM, and East-Asia expansion regions Models and data products consumed by 5+ downstream teams (ESM, NSR, MKT, NBS AI Ops, ROC) Influence $100M+ annual seller GMS through improved segmentation and contact optimization Key job responsibilities Design and deliver seller segmentation and propensity models at scale — incorporating GMS, category, growth trajectory, engagement signals, and lifecycle stage. Build contact quality scoring and lifecycle management systems (coverage optimization, dormancy detection, reactivation modeling). Define success metrics, experimentation frameworks (A/B, causal inference), and measurement methodology for seller engagement interventions. Productionize ML models and data products — partner with engineering to deploy seller scores, contact quality indices, and recommendation signals. Explore LLM/GenAI applications: automated insight generation from seller data, contact intent classification, and intelligent report synthesis. Serve as the science representative in bi-weekly NBS theme reviews; present findings and proposals to theme Bar Raisers and leadership. Collaborate with BIE team members to democratize analytical outputs via dashboards and self-serve tools. Contribute to cross-marketplace seller behavior analysis supporting Global Expansion strategy (IN, KR, VN, LATAM). Evaluate, integrate, and iterate on AI systems — assess new AI/ML tools, frameworks, and third-party models for applicability to seller intelligence use cases. Basic qualifications - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Proven track record of end-to-end ML model delivery: problem formulation → feature engineering → training → deployment → monitoring - Experience designing and analyzing A/B experiments at scale with rigorous statistical methodology - Demonstrated ability to translate ambiguous business problems into well-scoped science deliverables - Strong written and verbal communication — ability to present complex findings to non-technical stakeholders - Experience working with or evaluating AI systems Preferred qualifications - Ph.D. in a quantitative field (Statistics, Machine Learning, Economics, Operations Research) - Experience with NLP/LLM applications (text classification, intent detection, embedding-based retrieval, RAG pipelines) - Experience in seller/customer segmentation, propensity modeling, or CRM/lifecycle analytics - Proficiency with distributed computing frameworks (Spark, EMR, Redshift, Hive) - Experience working in a marketplace or platform business (e-commerce, SaaS, fintech) - Familiarity with causal inference methods (DID, RDD, synthetic control, instrumental variables) - Experience mentoring junior data scientists or leading a small science team - Track record of publishing research papers or creating reusable analytical frameworks - Knowledge of knowledge graph construction, entity resolution, or identity systems Our inclusive culture empowers

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Level. https://jobsbylevel.com/jobs/data-scientist-ai-program-cngs-nbs-new-business-new-seller-amazon-business-at-amazon-7a3a56.

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