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.

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.
• Have 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.

Requirements

• 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

Qualifications

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

Preferred Qualifications

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

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Pay

$202,200.00 - $273,600.00 USD annually

Schedule

Full-time