Senior Data Scientist, Business Analytics

Amd

Quick summary

Work type
On-site
Location
San Jose, CA
Posted
79 days ago
Closes
Apr 9, 2027

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How this pay compares to similar roles

Similar $174k
$125k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $143,000–$205,156.

Based on 240 similar postings.

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About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 56 open roles on FindRole.

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At a glance

TL;DR · Senior Data Scientist, Business Analytics

The Senior Data Scientist – Business Analytics & AI is a senior individual contributor role within the business analytics team, focusing on driving data-driven decision-making through advanced analytics and machine learning. This position involves building predictive models to enhance forecasting accuracy and automating analytical processes with AI and scripting tools to improve efficiency. Day-to-day responsibilities include designing interactive dashboards using Power BI, optimizing SQL-based data models for reporting, and collaborating closely with cross-functional teams to deliver scalable solutions. The ideal candidate should have strong proficiency in SQL, experience with machine learning techniques, and a solid understanding of financial concepts. Preferred skills include Python or R programming, experience deploying ML models, and working within a global organization to address complex business challenges.

What you'll do

  • Perform advanced business and financial analysis including trend and variance analysis.
  • Build and refine machine learning models for improved forecasting accuracy.
  • Identify and automate analytical processes using AI and scripting tools.
  • Design and maintain interactive dashboards using Power BI for complex datasets.
  • Ensure data accuracy, consistency, and performance across reporting solutions.
  • Partner with cross-functional teams to deliver end-to-end analytics solutions.

What we're looking for

  • 5+ years of experience in data science, analytics, or related roles.
  • Strong proficiency in SQL and hands-on experience with Power BI.
  • Solid understanding of forecasting, revenue analysis, and financial concepts.
  • Experience applying machine learning techniques to business problems.
  • Ability to build and deploy ML models for predictive analytics.
  • Excellent problem-solving and communication skills across diverse audiences.

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