Principal Research Scientist | MADS Science, Ads Science & Tech (ASAT)
Core
Develop analytics methods and tools to examine data flows of measurement, attribution, and shopper analytics, translating insights into actionable guidance for product teams to improve bidding algorithms, targeting, and relevance systems.
Role type
Principal Research Scientist (Measurement & Attribution Analytics)
Builds
Analytics frameworks, data architecture for ad serving, and intelligence decks for ad revenue and supply.
Domain
Advertising Technology (AdTech) / Data Science
Deliverable
production ML models
Required skills
SQL, Python, R, statistical modeling (multinomial logistic regression), advertising technology, AI integration, data querying, scripting, statistical/mathematical software
Preferred skills
Leadership and mentorship, PhD or equivalent, experience with Ads Auction based systems, deep understanding of the advertising landscape
Technologies
SQL, Python, R, SAS, Matlab
Responsibilities
Analyze data trends regarding supply, optimization, ad load, and advertising mix effects; present papers to senior leaders on feature development impact and ad selection system changes; identify and operationalize KPIs for ad serving systems; partner with engineering to define data logging requirements; validate financial models through analysis; develop ad revenue and supply intelligence analytics decks.
Seniority
Principal, hands-on IC with strategic impact