Senior Measurement & Attribution Scientist — Ads Science

Amazon; New York (NY); On-site; USD 175,000 - 237,000; Full time

Job summary

Amazon.com Services LLC is seeking a Measurement and Attribution Analytics scientist to advance analytics methods for measurement, attribution, and shopper analytics. You will build tools to analyze advertising data to improve bidding, targeting, and relevance systems, while evaluating feature releases and supply strategy in a data-driven way.

You will work with product teams, engineers, and business leaders to develop common data architectures, log data at multiple granularities, and translate

Qualifications

• 5+ years of data querying languages (SQL), scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab).
• 4+ years of data scientist experience
• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression

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

Skills

SQL

Python

Statistical modeling

Education

Bachelor's degree

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon.com Services LLC is seeking a Measurement and Attribution Analytics scientist to advance analytics methods for measurement, attribution, and shopper analytics. You will build tools to analyze advertising data to improve bidding, targeting, and relevance systems, while evaluating feature releases and supply strategy in a data-driven way.

You will work with product teams, engineers, and business leaders to develop common data architectures, log data at multiple granularities, and translate