Applied Science Manager, Publisher Monetization Stores

Description

The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead our Stores Supply Science team and our Stores Supply Applied Science Engineering team. In this role, you will be responsible for developing 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 ally importantly you will represent APM Stores Science across the broader Ads science community (e.g. Sponsored Products, Sponsored Brands, DSP and Ads Econ) and drive collaboration and harmonization.

This is an exciting opportunity to leverage your depth of applied science expertise to shape the future of Amazon's publisher monetization platform and have a significant impact on the business.

• 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 your 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
• 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

• Meeting with product and business leaders to understand their challenges and align on strategic priorities
• Reviewing progress and providing guidance to your direct reports on the Stores Supply Science and Applied Science engineering teams
• Defining the technical roadmap and implementation plan for new models in collaboration with engineering teams
• Presenting your teams' work and recommendations to senior leadership
• Providing career feedback and growth opportunities to your direct reports
• Staying abreast of the latest advancements in machine learning and other scientific disciplines and exploring how they could be applied to our business

• 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 5+ years of applied research experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience programming in Java, C++, Python or related language
• 4+ years of applied research experience

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below).

for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

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USA, NY, New York -  -  USD annually