Applied Science Manager, Ads Measurement Science

About the role

The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. 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.

Key job responsibilities

• Independently manage a team of scientists
• Identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team
• Maintain a broad understanding of scientific techniques, several of which may fall out of your specific job function
• Define the strategic vision for your team
• Establish a roadmap and successfully deliver scientific solutions that execute that vision
• Define clear goals for your team and effectively prioritize, balancing short-term needs and long-term value
• Establish clear and effective metrics and scientific process to enforce consistent, high-quality artifact delivery
• Proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks
• Know when to escalate
• Communicate ideas effectively, both verbally and in writing, to all types of audiences
• Author strategic documentation for your team
• Communicate issues and options with leaders in such a way that facilitates understanding and that leads to a decision
• Work successfully with customers, leaders, and engineering teams
• Foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues

About the team

We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

Basic qualifications

• 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 qualifications

• 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

Pay

• USA, CA, Palo Alto: 211,400.00 - 286,000.00 USD annually
• USA, NY, New York: 202,200.00 - 273,600.00 USD annually

Benefits

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

This response is AI-generated, for reference only.