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

Amazon.com Services LLC; Palo Alto (CA); On-site; USD 111,000 - 185,000; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance

Employee Assistance Program

Mental Health Support

Medical Advice Line

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Palo Alto is seeking a data engineer with a data science lens to power Amazon Ads analytics. The on-site role focuses on building ETL pipelines and data models to support advertiser performance insights.

Responsibilities include analyzing data trends, presenting to senior leaders, and formalizing analytics around Ads auctions. This role collaborates with engineering to define data logging and KPIs across ad systems.

Qualifications

• 1+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsibilities

• Analyze data trends across supply, optimization, ad load, and advertising mix to assess impact on advertiser performance and progress toward advertiser goals.
• Present analyses to senior leaders on how feature development affects identity recognition rates and how changes to ad selection systems influence fill rate, highlighting insights for business and engineering roadmaps.
• Formalize analytics around Ads auctions by examining bid spreads, auction depth, and modeling potential auction structure changes.
• Identify, standardize, and operationalize KPIs to measure performance across all ad serving systems and use trends to inform business priorities.
• Collaborate with engineering teams to define data logging requirements and place them on engineering roadmaps.
• Validate financial models through data analysis.
• Develop and own ad revenue and supply intelligence analytics decks for ongoing deep-dives.

Skills

Data engineering

1+ years experience

SQL

Tools

SQL

Python

R

GitHub

Job description

Based in Palo Alto, this on-site role focuses on data engineering with a data science lens to power Amazon Ads analytics. The compensation ranges from USD 111,400 to 185,000 per year, and the role expects at least 1 year of data engineering experience.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance with option for Supplemental life plans)
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Responsibilities

• Analyze data trends across supply, optimization, ad load, and advertising mix to assess impact on advertiser performance and progress toward advertiser goals
• Present analyses to senior leaders on how feature development affects identity recognition rates and how changes to ad selection systems influence fill rate, highlighting insights for business and engineering roadmaps
• Formalize analytics around Ads auctions by examining bid spreads, auction depth, and modeling potential auction structure changes
• Identify, standardize, and operationalize KPIs to measure performance across all ad serving systems and use trends to inform business priorities
• Collaborate with engineering teams to define data logging requirements and place them on engineering roadmaps
• Validate financial models through data analysis
• Develop and own ad revenue and supply intelligence analytics decks for ongoing deep-dives

Requirements

• 1+ years of data engineering experience
• Experience with SQL
• Experience with data modeling, warehousing and building ETL pipelines

Technologies

• SQL
• Python
• R
• GitHub

Description

We are seeking an undergraduate who has explored AI during their academic journey and is ready to apply that mindset to Amazon Ads. This role invites you to contribute to the development and application of analytics methods that explore the complex data flows within Amazon Ads and translate deep-dives into actionable product insights. You will build new tools to analyze advertising data with the goal of improving performance.

A Day in the Life

The role involves close collaboration with business leaders and engineers to design a shared data architecture that optimizes data logging at multiple granular levels and enables interoperability from bid flow to optimization to campaign delivery. You will analyze the data and prepare papers and ongoing reports that surface actionable insights.

About the Team

The Ads Science Product Team partners with stakeholders who rely on product data to apply objective analysis and business logic, uncover actionable insights, inform strategic decisions, and adapt to industry changes.