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.