Digital HR Leaders with David Green How People Analytics and Science Powers Amazon’s Global Hiring Engine (an Interview with Ashish Parulekar)
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Apr 15, 2025 Ashish Parulekar, Director of Data Science and Global Head of Talent Acquisition Analytics at Amazon, sheds light on scaling talent acquisition at a massive scale. He discusses how Amazon leverages data and advanced analytics to hire smartly and fairly across diverse roles. The conversation dives into optimizing high-volume hiring with technology, the importance of machine learning, and maintaining a human touch in decisions. Parulekar also emphasizes the critical skills for professionals in people analytics and the evolving landscape of careers in this field.
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Scaling Hourly Hiring
- Amazon's hourly hiring faced unique challenges with 3,000+ sites and fluctuating weekly demand.
- Initially, outsourcing was used, but bringing it in-house led to a 6X growth in two years.
Data-First Approach
- Prioritize data capture before advanced analytics or AI implementation.
- Start with simple rules based on data themes, then transition to machine learning for optimization.
Optimize Corporate Hiring
- Automate resume reviews and offer online assessments to provide merit-based opportunities and scale efficiently.
- Use machines to guide candidates to suitable roles based on their skills, improving their experience.