Principal Research Scientist | MADS Science, Ads Science & Tech (ASAT)

Saved job description

We are seeking a Principal Measurement and Attribution Analytics scientist to further the development and application of analytics methods to examine the complex data flows of measurement, attribution and shopper analytics 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.

- 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 Measurement and Attribution science leader will work closely with business leaders and engineers on developing science and analytics framework for Ads performance measurement and attribution products and programs as well as 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 and performance. There will be an emphasis on understanding the impact of shopper journeys to and from Amazon properties and their implication on product development. 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.

Requirements: - Bachelor's degree

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

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

- 10+ years of data scientist experience

- 10+ years experience in advertising technology including experince of AI integration within the AdTech domain