Senior Data Scientist – Business Analytics - AI

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. Job Summary The Senior Data Scientist – Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains. Key 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. Required Qualifications 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. #LI-RL1 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.

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.

Job Summary The Senior Data Scientist – Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains. Key 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. Required Qualifications 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. #LI-RL1