Senior Applied Science Manager, Digital Advertising

Socket.dev; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

RSUs

Sign-on bonus

Health insurance

401(k) plan

Job summary

Amazon Advertising seeks a leader to guide a team of scientists measuring real-world impact of Amazon’s marketing at billions in scale. You will drive cross-functional initiatives, apply ML and causal inference, and deliver insights that improve Amazon’s marketing and tools for external advertisers.

This growth role prioritizes building high-performing teams, strategic direction, and scalable measurement systems using petabyte-scale data.

Qualifications

• PhD or Master’s degree with substantial research experience.
• 6+ years of applied research in ML or related field.
• 3+ years leading scientists or ML engineers.
• 4+ years building ML models for business use.

Responsibilities

• Lead, hire, and mentor a science team focused on causal inference and ML.
• Set technical vision and roadmap for measurement and modeling initiatives.
• Partner with leadership to translate business needs into science roadmaps.
• Guide development and productionization of prototype models.
• Drive large-scale online experiments to validate impact.
• Foster cross-team collaboration and publish internal/external research.
• Establish scalable processes for model development and deployment.

Skills

Machine learning

NLP

Information retrieval

Analytics

Leadership

Education

PhD or Master’s degree

6+ years applied research

Tools

Java

C++

Python

Job description

Amazon Advertising seeks a leader to guide a team of scientists measuring real-world impact of Amazon’s marketing at billions in scale. You will drive cross-functional initiatives, apply ML and causal inference, and deliver insights that improve Amazon’s marketing and tools for external advertisers.

This growth role prioritizes building high-performing teams, strategic direction, and scalable measurement systems using petabyte-scale data.