Distinguished, Data Scientist

Overview

Position Summary — As a Distinguished Data Scientist focused on eCommerce Search AI, you will set the strategic and technical direction for next-generation search experiences that leverage neural search, Generative AI, and agentic AI systems to deliver highly relevant and personalized customer interactions  will architect and lead the design of scalable, end-to-end Search infrastructure, drive adoption of advanced ML and AI techniques including deep retrieval models and LLM-powered intent understanding, and ensure these systems meet stringent standards for performance, latency, reliability, and operational excellence in production.

You will partner closely with Search, Ads, Personalization, and Catalog leaders to ensure cohesive relevance, consistent ranking signals, and shared platform capabilities across all discovery surfaces. As a senior technical leader, you will influence cross-functional strategy across Search, Ads, Personalization, and Catalog domains, aligning technical investments with customer experience, monetization, and business outcomes. You will mentor senior engineers and data scientists, champion best practices in experimentation, evaluation, and AI governance, and contribute to advancing the state of the art in search relevance and AI-driven decisioning.

You will foster a culture of innovation and accountability while staying ahead of emerging trends in neural search, GenAI, and agentic systems, ensuring solutions scale responsibly across the broader eCommerce ecosystem. As a senior technical leader, you will mentor and guide senior engineers and data scientists, promote engineering and AI best practices, and contribute to extending the state of the art in search relevance and AI-driven decisioning.

You will champion rigorous evaluation, experimentation, and governance for both deterministic models and non-deterministic AI components, fostering a culture of innovation and responsibility while staying ahead of emerging trends in search and AI research.

As a Distinguished Data Scientist focused on eCommerce Search AI, you will set the strategic and technical direction for next-generation search experiences that leverage neural search, Generative AI, and agentic AI systems to deliver highly relevant and personalized customer interactions  will architect and lead the design of scalable, end-to-end Search infrastructure, drive adoption of advanced ML and AI techniques including deep retrieval models and LLM-powered intent understanding, and ensure these systems meet stringent standards for performance, latency, reliability, and operational excellence in production.

You will partner closely with Search, Ads, Personalization, and Catalog leaders to ensure cohesive relevance, consistent ranking signals, and shared platform capabilities across all discovery surfaces. You will influence cross-functional strategy across Search, Ads, Personalization, and Catalog domains, aligning technical investments with customer experience, monetization, and business outcomes. You will mentor senior engineers and data scientists, champion best practices in experimentation, evaluation, and AI governance, and contribute to advancing the state of the art in search relevance and AI-driven decisioning.

You will foster a culture of innovation and accountability while staying ahead of emerging trends in neural search, GenAI, and agentic systems, ensuring solutions scale responsibly across the broader eCommerce ecosystem. You will mentor and guide senior engineers and data scientists, promote engineering and AI best practices, and contribute to extending the state of the art in search relevance and AI-driven decisioning.

You will champion rigorous evaluation, experimentation, and governance for both deterministic models and non-deterministic AI components, fostering a culture of innovation and responsibility while staying ahead of emerging trends in search and AI research.

• Deep expertise in search, information retrieval, and ranking systems at scale
• Strong understanding of neural search architectures, ML/AI, and generative models
• Experience applying LLMs and agentic AI…