Senior Applied Scientist, Ad Response Prediction & GenAI

Amazon; Omaha, Northern (NE, KY); Hybrid; USD 167,000 - 260,000; Full time

Job summary

Amazon is seeking a Senior Applied Scientist for Sponsored Products and Brands Ads Response Prediction to build and deploy advanced machine-learning models. You will lead data-driven analyses, design experiments, and work with software engineers to ship end-to-end solutions that improve ad response and bidding dynamics.

The role emphasizes GenAI explorations, scalable ML pipelines, and collaboration across SPB teams to enhance personalization across placements and devices worldwide.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Conduct deep data analysis to derive insights and identify opportunities.
• Develop scalable ML models and optimization strategies to solve business problems.
• Run regular A/B experiments, gather data, and perform statistical analysis.
• Collaborate with software engineers to deliver end-to-end production solutions.
• Improve scalability, efficiency and automation of large-scale data analytics and model deployment.
• Research new ML and GenAI approaches to optimize SPB ads.

Skills

Java

C++

Python

Deep learning

Education

PhD or Master's + 6+ years

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Amazon is seeking a Senior Applied Scientist for Sponsored Products and Brands Ads Response Prediction to build and deploy advanced machine-learning models. You will lead data-driven analyses, design experiments, and work with software engineers to ship end-to-end solutions that improve ad response and bidding dynamics.

The role emphasizes GenAI explorations, scalable ML pipelines, and collaboration across SPB teams to enhance personalization across placements and devices worldwide.