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# Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)

- **Company:** Amazon.com, Inc.
- **Location:** New York, NY, United States
- **Salary:** $111,400.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Data Architecture, Information Engineering, Extract Transform Load (ETL), Github, Statistical Hypothesis Testing, Interoperability, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Data Logging
- **Published:** August 5, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10494000/data-engineer-data-science-focus-ads-science-analysis-tech-asat

## About the Role

1+ years of data engineering experience

 - Experience with SQL
 - Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

 - Experience using AI to automate and build with github (other sources) to showcase projects.
 - Proficiency in at least one programming language - Python, R, or SQL
 - Foundational knowledge of statistical methods (hypothesis testing, regression, probability)
 - Ability to query, clean, and transform data (SQL required)
 - Basic understanding of ML concepts (classification, clustering, regression models)

## Description

We are seeking a recent college graduate (undergrad) who has traversed their academic career learning and experimenting with AI. We want you to bring this new way of thinking to Amazon Ads! You will use these skills to further the development and application of analytics methods to examine the complex data flows of Amazon Ads and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our supply strategy, and evaluate the adoption and impact of feature releases., Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals
Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps
Formalize our analytics approach to Ads auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes
Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities
Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps
Validate financial models through analysis
Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives

A day in the life
The Ads Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.

About the team
The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.


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