Data Scientist II, Private Brands

Data Scientist II, Private Brands at Amazon

Join the Amazon Private Brands Selection Guidance organization to build scalable science and tech solutions, delighting customers with products across leading private brands like Amazon Basics, Amazon Essentials, and By Amazon. The Selection Guidance team leverages Generative AI, Machine Learning, Statistics, and Economics to drive product assortment, strategic business decisions, and product inputs such as title, price, merchandising, and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers, incubating novel technology to solve some of Amazon's toughest business challenges.

As a Data Scientist II, Private Brands, you will investigate business problems using data, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You will also review and guide scientists across the team on their designs and implementations, raising the team's bar for scientific research and prototypes.

This is a unique, high-visibility opportunity for someone passionate about developing ambitious science solutions and making a direct business and customer impact.

Key Job Responsibilities

• Partner with business stakeholders to deeply understand Amazon Private Brands (APB) business problems and frame ambiguous business challenges as science problems and solutions.
• Perform data analysis and build robust data pipelines to drive informed business decisions.
• Invent novel science solutions, develop compelling prototypes, and deploy production-ready software to address critical business needs.
• Review and provide expert guidance on science solutions across the team, ensuring high quality and effectiveness.
• Publish and socialize your and the team's research across Amazon and external avenues as appropriate, contributing to the broader scientific community.
• Leverage industry best practices to establish repeatable applied science practices, principles, and processes within the team.

Basic Qualifications

• 2+ years of data scientist experience.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and understanding parameters that affect their performance.
• 1+ years of experience working with or evaluating AI systems.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience working in STEM fields.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Knowledge of advanced machine learning concepts and their application to reasoning and problem-solving.
• Extensive experience in Python, Perl, or another scripting language for complex data tasks.
• Proven experience in a ML or data scientist role within a large technology company.
• Experience working effectively on multi-team, cross-disciplinary projects.
• Strong experience applying quantitative analysis to solve complex business problems and making data-driven business decisions.
• Exceptional ability to communicate complex concepts clearly through written and verbal communication.

Key Skills/Competency

• Generative AI
• Machine Learning
• Statistical Modeling
• Data Analysis
• SQL
• Python
• AI Systems
• Prototype Development
• Economics
• Problem Solving