Find your next role

Description

Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

The conversion domain ensures the necessary labor force to fulfill customer orders across global operations. The Senior Applied Scientist serves as the science leader for the conversion domain, supporting leadership teams across North America and Europe while providing guidance to generation, hiring event, and coordination teams.

The Senior Applied Scientist optimizes recruitment processes for specific demands within cost constraints across various markets, each with distinct deadlines. As the technical lead, you own signals that coordinate multiple functions: determining optimal job postings, coordinating with marketing for lead generation, managing hiring event appointments, and implementing candidate management strategies when needed.

The Senior Applied Scientist develops sophisticated theory-based decision models to create a scalable framework that balances business and candidate preferences, extending beyond simple conversion predictions. The role requires careful consideration of local regulations and market-specific requirements.

The Senior Applied Scientist owns scientific models across multiple countries, with expertise in stochastic dynamic programming, machine learning with panel data, survival analysis, and causal inference from non-experimental data. They optimize job application release timing and predict conversion rates while designing experiments for new mechanism rollouts.

The Senior Applied Scientist leads automation of hiring processes through AI systems, developing decision-making models built on economic theory principles while ensuring system trustworthiness through automated reasoning and formal verification.

Key job responsibilities
• Own science models across North America and Europe, that managing job posting optimization, candidate management, and recruitment coordination.

• Create data-driven models that optimize candidate experience and business outcomes while considering market-specific requirements and regulations.

• Manage conversion models, application demand forecasting, and optimization algorithms using machine learning, survival analysis, and causal inference techniques.

• Lead development of AI systems that automate recruitment decisions while ensuring reliability and alignment with business objectives.

• Plan and implement controlled experiments to test new recruitment mechanisms and optimize hiring processes across different markets.

About the team
Intelligent Talent Acquisition (ITA) is Amazon's internal people science and technology organization with the singular mission of connecting the right people to the right jobs through fair and precise methods across Amazon's global operations. This strategic hiring approach directly contributes to Amazon's ability to deliver billions of packages worldwide. Through data-driven insights and innovative technology, ITA continues to enhance Amazon's hiring processes, assessment systems, and talent acquisition capabilities, with scientific breakthroughs affecting thousands of hiring decisions and millions in operational efficiency across 200+ job families globally.