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AMD Logo AMD · IT - Software Development

Senior Data Scientist – People Analytics

United States, Austin Employment contract 91520.00 - 137280.00 USD / Year · Job Posted May 29, 2026
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Job Description

AMD is seeking a highly skilled People Analytics Data Scientist to join our growing Talent Insights team. This role will drive advanced analytics, predictive modeling, and AI-driven insights to inform critical talent and organizational decisions. You will work at the intersection of data science, HR strategy, and business leadership, leveraging tools such as Dataiku, Power BI, and modern AI techniques to build scalable data products and deliver actionable insights to senior leaders. This is a high-impact role ideal for someone who combines strong technical depth with the ability to translate complex data into clear, business-relevant recommendations. This role reports directly to the Director of Talent Management & People Analytics.

Job Responsibility

  • Design and deliver analysis to influence decisions on talent strategy, workforce planning, engagement, and organizational design
  • Build and scale repeatable analytics solutions and data products
  • Partner with HR and business leaders to define key business questions and deliver data-driven recommendations
  • Design and deliver AI agents to streamline data delivery and analysis for talent processes
  • Collaborate with HR data engineering team to ensure data quality, governance, and accessibility
  • Build proficiency in AMD AI tools and models
  • Help shape the long-term People Analytics strategy at AMD

Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
  • Experience in People Analytics
  • Experience in data science and advanced analytics
  • Hands-on experience building models using tools such as Dataiku, Python, R, or similar platforms
  • Intermediate expertise in Power BI (data modeling, DAX, dashboard design, performance optimization)
  • Basic understanding of statistical methods, machine learning, and experimental design
  • Proven ability to translate data into business insights and influence decision-making
  • Experience working with large, complex datasets across multiple sources
  • Experience in People Analytics or HR data domains (e.g., talent management, engagement, workforce planning)
  • Familiarity with HR systems (e.g., SAP SuccessFactors, Workday)
  • Experience deploying ML models into production environments
  • Knowledge of data storytelling for executive audiences
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