Lead Ads Measurement & Attribution Scientist

Amazon

Palo Alto (CA)

Vor Ort

USD 218.000 - 295.000

Vollzeit

Vor 11 Tagen

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Benefits dieser Stelle

Health insurance
RSUs
401(k) matching
Paid time off

Zusammenfassung

Amazon in Palo Alto is seeking a Principal Measurement and Attribution Analytics scientist to advance analytics methods for measurement, attribution, and shopper analytics. You will translate deep-dives into actionable insights for product teams and develop new tools to analyze advertising data to improve bidding and relevance.

You will lead data-driven projects, present findings to senior leaders, and collaborate with engineering to log data and define KPIs guiding strategy across ad systems

Qualifikationen

  • Bachelor's degree in a relevant field.
  • 10+ years of data querying languages and scripting experience.
  • Experience with statistical models such as multinomial logistic regression.
  • 10+ years in data science with ads/AdTech experience.

Aufgaben

  • Analyze data trends regarding supply, optimization, ad load, and advertising mix effects.
  • Present papers to senior leaders on feature development impact and ad system changes.
  • Identify, standardize, and operationalize KPIs to measure ad serving performance.
  • Partner with engineering to define data logging requirements and prioritize roadmaps.
  • Validate financial models and develop ad revenue and supply analytics decks.

Kenntnisse

SQL
Python
R/SAS/Matlab
Data science
Leadership
AI in AdTech

Ausbildung

Bachelor's degree
PhD or equivalent

Jobbeschreibung

Amazon in Palo Alto is seeking a Principal Measurement and Attribution Analytics scientist to advance analytics methods for measurement, attribution, and shopper analytics. You will translate deep-dives into actionable insights for product teams and develop new tools to analyze advertising data to improve bidding and relevance.

You will lead data-driven projects, present findings to senior leaders, and collaborate with engineering to log data and define KPIs guiding strategy across ad systems

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