Data Scientist II, Amazon Private Brands, PBI Selection Guidance

Amazon; San Diego (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Amazon Private Brands Selection Guidance seeks a Data Scientist to investigate business problems with data, build prototypes, and deploy scalable production solutions across product inputs like title, price, and merchandising. You will guide scientists, publish research, and help drive decisions using ML, statistics, and economics in a high-visibility team.

The role emphasizes collaboration with engineers, product managers, and business stakeholders to solve challenging problems with novel

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) or scripting languages (Python) or statistical software (R, SAS, Matlab).
• 3+ years of machine learning/statistical modeling and analysis experience.
• 1+ years of creating or contributing to educational content.

Responsibilities

• Partner with stakeholders to frame business problems as science problems.
• Perform data analysis and build data pipelines to drive decisions.
• Invent science solutions, develop prototypes, and deploy production software.
• Review and guide science solutions across the team.
• Publish and socialize research within Amazon and externally.
• Apply best practices to establish repeatable applied science processes.

Skills

Data science experience

SQL

Python

R or Matlab

ML/Statistical modeling

Academic writing/education content

Education

Master's degree in STEM

Tools

SQL

Python

Job description

Description

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.

Description

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon. The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands 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 and building day one solutions using novel technology, to solve some of the toughest business problems at Amazon. As a Data Scientist 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 review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes. This is a unique, high visibility opportunity for someone who wants to develop ambitious science solutions and have direct business and customer impact.

Key job responsibilities

• Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
• Perform data analysis and build data pipelines to drive business decisions.
• Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.
• Review and guide science solutions across the team.
• Publish and socialize your and the team's research across Amazon and external avenues as appropriate
• Leverage industry best practices to establish repeatable applied science practices, principles & processes.

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere