Senior Data Scientist, Business Analytics, AI

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$124,800–$187,200 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday
Closes
Jul 31, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $156k
$102k most similar roles pay here $221k

This role pays less than 58% of similar roles. Most pay $127,400–$198,337 — the shaded band above. At the midpoint, this role pays about $156k versus about $163k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Senior Data Scientist, Business Analytics, AI

The Senior Data Scientist – Business Analytics - AI serves as a senior individual contributor focused on driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. Working within business and financial domains, the role involves performing trend analysis, variance analysis, scenario modeling, and forecasting to improve predictive insights. The candidate will build and refine machine learning models, develop automated workflows to reduce manual effort, and create interactive dashboards for stakeholders. Key technical requirements include proficiency in SQL for managing complex datasets, experience with Power BI for visualization, and the use of Python or R for data science and automation tasks. This role addresses the challenge of evolving descriptive analytics into predictive and prescriptive capabilities while providing actionable insights across various business dimensions to support revenue analysis and performance tracking.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Perform advanced business and financial analysis including trend analysis, variance analysis, and scenario modeling.
  • Build, test, and refine machine learning models to improve forecasting accuracy and predictive insights.
  • Identify and implement automation opportunities using AI, ML, and scripting tools to reduce manual effort.
  • Design and maintain interactive dashboards and reporting solutions using Power BI.
  • Develop and optimize SQL-based data models to support reporting and self-service insights.
  • Translate complex datasets into clear, actionable insights for non-technical business and finance stakeholders.
  • Own analytics problems from initial definition through final implementation with minimal supervision.

What we're looking for

  • Bachelor's degree in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a related field.
  • 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.
  • Proficiency in Python, R, or similar languages for data science and automation.
  • Strong problem-solving and communication skills.

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