Senior Data Scientist – Business Analytics - AI

• 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

• 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

• 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

AMD benefits at a glance