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Description

We are seeking a senior data scientist to employ analytics methods to examine vast open internet ad supply, 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 quality of our supply and fairly evaluate supply value.

Key job responsibilities

* Analyze data trends regarding supply, ad load, and advertising mix effects that impact supply value and contribute to achieving advertiser goals.

* Present papers to senior leaders on supply value, yield etc. 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

Media Enable Team channels open internet supply into Amazon DSP to help advertisers reach their desired audience and improve their advertising outcomes. We are forming a new data analytics team that will create insights using statistical methods to help channel the right supply to improve supply value, fill-rate and yield.

Basic Qualifications

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 4+ years of data scientist experience

- Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

- Experience managing data pipelines

- Experience as a leader and mentor on a data science team

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.