Senior Data Scientist, AI Program, CNGS NBS (New Business & New Seller) Amazon Business
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.
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.