Senior Data Scientist – Business Analytics - AI

AMD is a company focused on building innovative products that enhance computing experiences across various domains. The Senior Data Scientist – Business Analytics & AI is responsible for driving data-driven decision making through advanced analytics and machine learning, collaborating with cross-functional teams to deliver scalable analytics solutions and predictive insights.

Responsibilities:

• 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
• 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
• 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
• 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