Applied Scientist, Talent Intelligence

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.

Key job responsibilities

The Applied Scientist serves as key contributor supporting recruiting program managers, recruiters, and AUTA leadership while providing technical guidance to demand planning, school strategy, and supply forecasting teams.

• Own science models that power target school recommendations, talent supply projections, and school-to-requisition matching across Amazon"s global campus recruiting footprint.
• Create data-driven models that optimize school sourcing strategies and recruiter decision-making while considering diversity requirements, data privacy thresholds, and institution-specific characteristics.
• Develop and maintain supply forecasting models, school ranking algorithms, and multi-objective optimization systems using time-series forecasting, machine learning, survival analysis, and causal inference techniques.
• Lead development of AI systems to automate school identification, supply-demand gap analysis, and strategy recommendations while ensuring transparency and alignment with recruiting objectives.
• Plan and implement controlled experiments to test new recommendation mechanisms, validate supply projection accuracy, and optimize school engagement strategies across different markets and role families.
• Partner with recruiting program managers, recruiters, and downstream engineering teams to translate ambiguous talent supply challenges into well-defined scientific formulations with measurable outcomes.

About the team

Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You"ll be at the intersection of people, data, and technology-solving fascinating problems that directly impact how we hire the best talent globally.