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 powerful 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 Data Scientist will be part of the team that will pioneer the next generation of Amazon's hiring practices through advanced scientific methods and innovative modeling approaches. The scientist will develop ML/statistical models for prediction, forecasting, anomaly detection, process monitoring, etc. Design experiments to study causality and / or build simulation models (discrete, systems or agent based) to optimize workforce planning, drive strategic decision-making and develop novel approaches for solving labor market challenges. Key responsibilities include building scalable statistical/ML models that provide actionable hiring insights, developing agent-based systems for process simulation and to enable experimentation, and generally creating adaptive models / frameworks / systems that respond to market dynamics. They will leverage MLOps practices to deploy and maintain production systems, while providing technical enablement across teams. The Data Scientist will closely collaborate with Product, Software Engineering, Data engineering and Business Intelligence Engineering teams , following agile framework to deliver on Amazon’s hiring promise. This position will be instrumental in shaping Amazon's scientific approach to workforce planning and hiring optimization.
Key job responsibilities
o Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to:
Solve complex business challenges through data-driven insights
Identify patterns and trends in large datasets
Create predictive models to optimize business outcomes
Implement and validate statistical methodologies
o Develop comprehensive technical documentation including:
Detailed methodology reports
Model specifications and assumptions
Statistical analysis procedures
Validation results and model performance metrics
Implementation guidelines and recommendations
