Senior Data Scientist, Privacy-Preserving Ads Analytics

Amazon Inc.; New York (NY); Hybrid; USD 175,000 - 237,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking a Sr. Data Scientist for the Amazon Publisher Cloud team, focusing on privacy-preserving data analysis and cross-publisher collaborations.

You will design experiments, build models, and lead analyses that translate business needs into technical solutions while partnering with product, engineering, and data science peers to drive impact. The role requires deep data science expertise, experience with multinomial logistic regression, and the ability to employ

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
• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression

Responsibilities

• Design and implement experimental frameworks to validate Clean Room collaboration methodologies and measure their effectiveness
• Develop statistical models and algorithms that power privacy-preserving data analysis capabilities
• Lead end-to-end analysis projects to derive actionable insights from cross-party data collaborations
• Partner with product teams to translate business requirements into technical solutions
• Create reproducible analysis frameworks and documentation

Skills

SQL

Python

R

SAS

Matlab

Education

Bachelor's degree

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Amazon.com Services LLC is seeking a Sr. Data Scientist for the Amazon Publisher Cloud team, focusing on privacy-preserving data analysis and cross-publisher collaborations.

You will design experiments, build models, and lead analyses that translate business needs into technical solutions while partnering with product, engineering, and data science peers to drive impact. The role requires deep data science expertise, experience with multinomial logistic regression, and the ability to employ