Applied Science Manager, Ads Measurement Science

Amazon
Palo Alto, CA, USA / New York, NY, USA2026-04-22ONSITE

About the job

As an Applied Science Manager on the team, you will lead a team of scientists to define and execute a transformative vision for holistic measurement and reporting insights for ad effectiveness. Your team will own the science solutions for foundational experimentation platforms, foundational customer journey understanding technologies, state of the art attribution algorithms to measure the role of advertising in driving observed retail outcomes, and/or agentic AI solutions that help advertisers get quick access to custom insights that inform how to get the most out of their ad spend.

Responsibilities

You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.

You have a broad understanding of scientific techniques, several of which may fall out of your specific job function.

You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.

You define clear goals for your team and effectively prioritize, balancing short-term needs and long-term value.

You establish clear and effective metrics and scientific process to enforce consistent, high-quality artifact delivery.

You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.

You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team. You communicate issues and options with leaders in such a way that facilitates understanding and that leads to a decision.

You work successfully with customers, leaders, and engineering teams. You foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.

Qualifications

Minimum

4+ years of applied research experience

3+ years of scientists or machine learning engineers management experience

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Knowledge of ML, NLP, Information Retrieval and Analytics

Experience programming in Java, C++, Python or related language

Preferred

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field