Ads Impact Science Lead: Causal ML & Economic Modeling

Amazon; Seattle (WA); On-site; USD 183,800 - 248,700; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Seattle is looking for an Applied Science Manager for their Stores-Ads Science team. This role focuses on understanding and optimizing advertising's impact on shopper engagement through scientific research and machine learning.

The ideal candidate will lead a team, setting the vision and strategy, and conduct causal experiments. A strong background in applied research, management experience, and expertise in machine learning is required.

The position offers a competitive salary range of $183,800 to $248,700 annually and comprehensive benefits.

Qualifications

• 4+ years of applied research experience.
• 3+ years of experience managing scientists or machine learning engineers.
• 3+ years of experience building ML models for business applications.

Responsibilities

• Lead a team of scientists to set the technical vision for ads impact measurement.
• Design experiments to identify causal mechanisms affecting shopper engagement.
• Develop algorithms that integrate causal signals into business decision-making.

Skills

Applied research experience

Management experience for scientists or ML engineers

Building machine learning models

Programming in Java, C++, or Python

Education

PhD or Master's degree with 6+ years of research experience

Tools

Machine Learning frameworks

NLP tools

Job description

Amazon in Seattle is looking for an Applied Science Manager for their Stores-Ads Science team. This role focuses on understanding and optimizing advertising's impact on shopper engagement through scientific research and machine learning.

The ideal candidate will lead a team, setting the vision and strategy, and conduct causal experiments. A strong background in applied research, management experience, and expertise in machine learning is required.

The position offers a competitive salary range of $183,800 to $248,700 annually and comprehensive benefits.