WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
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.
THE PERSON:
An ideal candidate will bring a unique blend of technical expertise and business acumen, with a passion for turning data into meaningful workforce insights.
- 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
KEY 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
PREFERRED EXPERIENCE:
- 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
This role is not eligible for visa sponsorship.
#LI-CJ2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
THE ROLE:
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.
THE PERSON:
An ideal candidate will bring a unique blend of technical expertise and business acumen, with a passion for turning data into meaningful workforce insights.
- 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
KEY 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
PREFERRED EXPERIENCE:
- 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
This role is not eligible for visa sponsorship.
#LI-CJ2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.