Data Scientist, Sales AI

About the role

We are a growing science and engineering team within Amazon Advertising, one of Amazon's fastest growing and most profitable businesses. Our charter is to define and deliver advertising products that drive discovery and sales, with a focus on transforming how account teams operate through actionable insights, recommendations, and Generative AI-powered workflows. As part of our central AI/ML team, you will bring deep expertise in quantitative modeling, machine learning, and generative AI to build science-backed services that enhance customer success.

Why you will love this opportunity

• Work within Amazon’s fastest-growing business, influencing customer-facing shopping experiences and driving billions in revenue.
• Collaborate with a highly motivated, entrepreneurial team with a broad mandate to experiment and innovate.
• Break fresh ground in product and technical innovations, delivering billions of ad impressions and millions of clicks daily.
• Combine analytical rigor, technical strength, product focus, and business understanding to solve real-world problems.

Responsibilities

• Build and apply LLM-based solutions (retrieval-augmented generation, prompting, and agentic workflows) to solve Ad Sales problems and generate seller-facing insights and recommendations.
• Translate ambiguous business problems into data science problems, developing statistical and machine learning models (e.g., ranking, retrieval evaluation, segmentation, forecasting) to complement LLM workflows.
• Analyze large, complex datasets, including conversation and LLM interaction data, to surface insights, quantify gaps, and identify opportunities for improvement.
• Design and run experiments (A/B tests, offline/online evaluations, causal inference) and define metrics to measure the quality, accuracy, and business impact of LLM-driven solutions.
• Write production-grade code (Python, SQL) to acquire, transform, and analyze data at scale, partnering with applied scientists and engineers to deploy solutions.
• Present findings and recommendations clearly to technical and non-technical audiences, and mentor junior data scientists.

About the team

Sales AI is a central science and engineering organization within Amazon Advertising Sales. We power selling motions and account team workflows via state-of-the-art AI/ML services, including advertiser insights, recommendations, and Generative AI-powered applications integrated throughout account team workflows.

Requirements

• 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 techniques, and performance parameters.
• 1+ years of experience guiding and coaching a group of researchers.
• 1+ years of experience working with or evaluating AI systems.
• 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
• Master’s degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• 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 at a large technology company.
• Experience defining and creating benchmarks for assessing GenAI model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data-driven decisions.
• Strong written and verbal communication skills for explaining complex concepts.

Pay

Base salary range: $153,400 – $207,500 USD annually (New York, NY). Your total compensation package will include sign-on payments and restricted stock units (RSUs), with final compensation determined by experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, with optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts (FSAs).
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.