Applied Science Manager, Amazon Publisher Monetization Stores

About the role

The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead the Stores Supply Science team and the Stores Supply Applied Science Engineering team. In this role, you will develop novel machine learning and optimization solutions to drive improvements in the monetization of digital content for Amazon's publishing partners. You will collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities, define technical roadmaps, and deliver innovative solutions at scale. You will also represent APM Stores Science across the broader Ads science community and drive collaboration and harmonization.

Responsibilities

• Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing team members.
• Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions.
• Represent APM Stores Science across the broader Ads science community (e.g., Sponsored Products, Sponsored Brands, DSP, and Ads Econ).
• Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners.
• Foster a culture of innovation, agility, and customer obsession within your teams.

A day in the life

• Collaborate with key stakeholders, lead your teams, and drive the development and deployment of high-impact solutions.
• Meet with product and business leaders to understand their challenges and align on strategic priorities.
• Review progress and provide guidance to your direct reports on the Stores Supply Science and Applied Science Engineering teams.
• Define the technical roadmap and implementation plan for new models in collaboration with engineering teams.
• Present your teams' work and recommendations to senior leadership.
• Provide career feedback and growth opportunities to your direct reports.
• Stay abreast of the latest advancements in machine learning and other scientific disciplines and explore their application to business challenges.

Requirements

• 3+ years of experience managing scientists or machine learning engineers.
• 3+ years of experience building machine learning models for business applications.
• PhD or Master's degree and 5+ years of applied research experience.
• Knowledge of ML, NLP, Information Retrieval, and Analytics.
• Experience programming in Java, C++, Python, or a related language.
• 4+ years of applied research experience.

Preferred Qualifications

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

Pay

USA, NY, New York - $202,200.00 - $273,600.00 USD annually.

Benefits

• Sign-on payments and restricted stock units (RSUs).
• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, and Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.