Senior Data Scientist – Business Analytics - AI in San Jose, California | Advanced Micro Devices, Inc

Amd

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$124,800–$124,800 / yr
Posted
64 days ago
Closes
Apr 9, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $125k
$113k most similar roles pay here $239k

This role pays less than 95% of similar roles. Most pay $145,200–$226,650 — the shaded band above. At the midpoint, this role pays about $125k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

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 71 open roles on FindRole.

Listed pay typically runs $178,400–$178,400 across 71 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Data Scientist – Business Analytics - AI in San Jose, California | Advanced Micro Devices, Inc

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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