Senior Data Scientist – Business Analytics - AI

About the Role

At AMD, we believe technology can change lives for the better. This Senior Data Scientist – Business Analytics & AI role is a senior individual contributor position responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. You will partner closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains.

Responsibilities

• Data Science & Advanced Analytics
  • Perform advanced business and financial analysis, including trend analysis, variance analysis, and scenario modeling.
  • Support forecasting, revenue analysis, and performance tracking across multiple business dimensions.
  • Build, test, and refine machine learning models to improve forecasting accuracy and predictive insights.
  • Apply statistical, predictive, and ML techniques to large, complex datasets.
  • Evaluate model performance, interpret results, and communicate insights to non-technical stakeholders.
  • Continuously evolve analytics from descriptive to predictive and prescriptive use cases.
• Automation & AI Enablement
  • Identify opportunities to automate recurring analytical processes using AI, ML, and scripting tools.
  • Develop intelligent solutions that reduce manual effort and improve speed, scalability, and reliability.
  • Contribute to AI-driven insights, alerts, and decision-support capabilities embedded in analytics workflows.
• Dashboarding & Reporting
  • Design, build, and maintain interactive dashboards and reporting solutions using Power BI.
  • Develop and optimize SQL-based data models to support reporting, analytics, and self-service insights.
  • Ensure data accuracy, consistency, and performance across dashboards and reporting assets.
  • Translate complex datasets into clear, actionable insights for business and finance stakeholders.
• Cross-Functional Collaboration
  • Partner with stakeholders across business, finance, data engineering, and IT to deliver end-to-end analytics solutions.
  • Own analytics problems from definition through implementation with minimal supervision.
  • Communicate findings, recommendations, and technical concepts clearly to diverse audiences.
  • Act as a trusted data science and analytics partner across the organization.

Requirements

• Bachelor’s degree in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a related field, or equivalent experience.
• 5+ years of experience in data science, analytics, business intelligence, or related roles.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands-on experience with Power BI or similar data visualization tools.
• Solid understanding of forecasting, revenue, and financial concepts.
• Experience applying machine learning techniques to business or financial problems.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience building and deploying ML models for forecasting or predictive analytics.
• Proficiency in Python, R, or similar languages for data science and automation.
• Experience applying AI-based automation to analytics or reporting workflows.
• Experience working in a global, matrixed organization.
• Technology or data-intensive industry experience.

This role is not eligible for visa sponsorship.

Benefits

Benefits offered are described at AMD benefits at a glance.