Amazon Advertising is seeking a Data Scientist II to help measure and improve one of the world's largest advertising identity platforms. You will work with massive datasets to uncover insights that directly influence how Amazon recognizes customers, connects identity signals, and enables advertisers to reach and measure audiences across the global advertising ecosystem.
The Amazon Advertising Identity Platform (AIP) powers identity resolution across Amazon's owned and operated properties, third party publishers, and the open internet. As traditional identity signals become less available and consumer behavior spans more devices and environments, understanding the accuracy, coverage, and business impact of identity resolution has become increasingly important.
As a Data Scientist II, you will develop analytical frameworks, measurement methodologies, and data driven insights to evaluate the performance of Amazon's identity graph. You will work with billions of identity signals to quantify recognition rates, graph coverage, identity accuracy, and the incremental value of deterministic and probabilistic identity resolution. Your analysis will help identify opportunities to improve advertising addressability, audience reach, campaign measurement, and revenue.
You will design experiments, develop statistical models, and establish measurement frameworks to understand how identity improvements translate into better advertising outcomes. This includes evaluating the precision and recall of identity models, measuring the incremental contribution of individual identity sources, identifying gaps in identity coverage, and quantifying the commercial impact of identity investments.
You will partner closely with applied scientists, software engineers, product managers, and business leaders to translate complex data into actionable recommendations. Your work will help shape technical priorities, guide investment decisions, and establish the metrics used to evaluate identity performance across Amazon Advertising.
The ideal candidate has strong expertise in SQL, Python, statistical analysis, experimentation, and large scale data analytics. You should be comfortable working with complex datasets, developing rigorous measurement methodologies, and communicating findings to both technical and business audiences.
This role offers the opportunity to establish how Amazon measures identity quality and business impact, influence the direction of a critical advertising platform, and apply data science to problems operating at global scale.
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 157,300.00 - 212,800.00 USD annually
USA, NY, New York - 153,400.00 - 207,500.00 USD annually
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
