Applied Scientist II - Advertising Incrementality Lead

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments and RSUs

Job summary

Amazon.com Services LLC is seeking an Applied Scientist II to lead measurement science for advertising incrementality. You will apply ML/DL, causal inference, and econometric methods to build scalable models that quantify advertising impact at Amazon scale.

You will own end-to-end model development, partner with product managers, and work with engineering to productionize solutions. This role requires strong analytical skills and the ability to translate data into actionable business insights.

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s in CS/CE/ML or related field with 4+ years experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, numerical optimization, data mining, parallel & distributed computing.

Responsibilities

• Apply ML/DL, AI, and causal modeling to develop models describing advertising impact.
• Own end-to-end development of novel scientific models for business stakeholders.
• Improve and simplify existing solutions and frameworks.
• Review and audit modeling processes for junior and senior scientists.
• Collaborate with leadership to align developments with business strategy.
• Identify opportunities from data insights and drive decision making.

Skills

ML/DL modeling

Causal inference

Programming

Big-data analytics

Education

PhD or MS in CS/CE/ML

Tools

Unix/Linux

Software development

Job description

Amazon.com Services LLC is seeking an Applied Scientist II to lead measurement science for advertising incrementality. You will apply ML/DL, causal inference, and econometric methods to build scalable models that quantify advertising impact at Amazon scale.

You will own end-to-end model development, partner with product managers, and work with engineering to productionize solutions. This role requires strong analytical skills and the ability to translate data into actionable business insights.