Senior Data Scientist – Business Analytics - AI

Advanced Micro Devices, Inc•San Jose, CA

About The Position

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.

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.

Nice To Haves

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.

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.