Senior Data Scientist – Business Analytics - AI

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. 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 This role is not eligible for visa sponsorship. This role is not eligible for visa sponsorship. 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 This role is not eligible for visa sponsorship. This role is not eligible for visa sponsorship. 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.