Senior Data Scientist – People Analytics
About The Position
AMD is seeking a highly skilled 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.
Requirements
- Business-first mindset – Focuses on solving business problems, not just building models; connects analytics to talent and organizational outcomes.
- Strong storyteller – Translates complex data into clear, compelling insights that resonate with senior leaders and drive decisions
- Technically versatile – Deep hands-on experience with data science tools (e.g., Dataiku, Python/R) and Power BI expertise, with a bias toward scalable, production-ready solutions
- AI-forward thinker – Comfortable leveraging AI/ML to enhance analytics, with curiosity to explore new tools and approaches. You will grow to become the “go-to” expert on how best to leverage AMD’s robust suite of AI tools and models to deliver efficient talent processes and analysis.
- Consultative partner – Builds strong relationships with HR and business leaders; asks the right questions and constructively challenges thinking
- Comfortable with ambiguity – Thrives in a fast-paced environment where problems are not always clearly defined
- High ownership and accountability – Takes initiative, drives work end-to-end, and follows through on commitments
- Collaborative and low ego – Works effectively across teams sharing knowledge and enabling others
- Continuous learner – Stays current on trends in people analytics, AI, and data visualization; actively improves skills and approaches
Nice To Haves
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
- Experience in data science, advanced analytics, or people 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
Responsibilities
- 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
Benefits
- AMD benefits at a glance.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
