About the role
Team & Project OverviewThe 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 Team & Project OverviewThe 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 ImpactOwn 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 regionsModels 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 optimizationKey job responsibilitiesDesign 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. - 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 - 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 systemsOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.