Applied Scientist, Amazon Customer Service

Overview

The Data Intelligence team is a new function within Amazon Customer Service (CS). We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also The Data Intelligence team is a new function within Amazon Customer Service (CS).

What you'll do

• The Data Intelligence team is a new function within Amazon Customer Service (CS).
• We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy.
• We also The Data Intelligence team is a new function within Amazon Customer Service (CS).
• We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy.
• We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences.
• As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions.
• Your expertise will be key in shaping data-driven strategies and addressing complex data challenges.
• With your expertise in AI, text analysis, embeddings, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact.
• This position will advance applied science best practices, leverage data and AI to drive customer experience improvements, and set new global standards for customer experience.
• This role requires you to work with a cross-functional team, including scientists, engineers, and product managers, to develop scalable and maintainable AI solutions for both structured and unstructured data.

Requirements

• Practical experience with Python, Go, Rust, Java.
• Experience level: 3+ yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Santa Clara, California, USA.

Skills