Amazon.com Services LLC

Data Science, Data Engineering, finance

DataEngineer,AdsScienceAnalysis&Tech(ASAT)

$111–185k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer, Ads Science Analysis & Tech (ASAT) at Amazon.com Services LLC. Skills: Data engineering, Analytics methods, Data analysis. Analyze data trends. Present papers to senior leaders”

What You'll Achieve.

Improve performance of bidding algorithms; Improve targeting systems; Improve relevance systems; Advance supply strategy; Evaluate adoption of feature releases; Evaluate impact of feature releases; Achieve advertiser goals; Improve fill rate

Industry & Context.

Data Science, Data Engineering, finance
Problems you'll solve

Deep-dives; Actionable insights

What They're Looking For.

Must Have

1+ years of data engineering experience, Experience with SQL, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Bachelor's degree

Nice to Have

Experience using AI to automate, Build with github to showcase projects

What You'll Do.

Present papers to senior leaders

Formalize analytics approach

Partner with engineering teams

Define data logging requirements

Validate financial models

Develop analytics decks

How You'll Work.

Team & Collaboration

Business leaders; Engineers

Communication Scope

Present papers; Present ongoing reports

Full Job 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. Key job responsibilities 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 an

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