Data Scientist

Applied Materials

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$133,500–$183,500 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $158k
$86k most similar roles pay here $226k

This role pays less than 56% of similar roles. Most pay $126,800–$197,100 — the shaded band above. At the midpoint, this role pays about $158k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 135 open roles on FindRole.

Listed pay typically runs $133,500–$183,500 across 135 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · Data Scientist

Data Scientist - (B3) joins a team supporting GIS, Business Intelligence, Big Data, and AI/ML functions to align business technology with functional requirements. The role involves analyzing business issues to develop technical specifications, designing and developing AI/ML solutions, and performing software application configuration. Day-to-day responsibilities include executing test scenarios for unit, integration, performance, regression, and acceptance testing, as well as managing data conversions and new technology evaluations. The position requires providing platform support services to meet availability and service level targets while conducting root cause analysis for incidents and outages. Key technical areas include Big Data, AI/ML, and GIS project management processes. The role focuses on solving complex production system performance issues and ensuring compliance with change management, governance, and control standards within the semiconductor manufacturing and materials science domain.

What does a Data Scientist earn in California?

Median $213756 from 71 postings across 26 companies.

See salary data

What you'll do

  • Support GIS, Business Intelligence, Big Data, and AI/ML personnel to align business technology with customer needs.
  • Convert analyzed business requirements into functional and technical specifications for solution development.
  • Configure software applications and technical platforms while documenting all configurations.
  • Prepare and execute various test scenarios including unit, integration, performance, regression, and acceptance tests.
  • Provide application and platform support services to meet performance, availability, and service level agreement targets.
  • Monitor complex production systems and perform system analysis and debugging to identify root causes of issues.
  • Conduct root cause analysis for incidents and outages to ensure continuous system performance.
  • Manage small continuous improvement projects while adhering to project management, change management, and governance standards.

What we're looking for

  • Supports GIS, Business Intelligence, Big Data, and AI/ML personnel for business technology alignment and solution discovery.
  • Analyzes business requirements to develop functional and technical specifications for BI, big data, and AI/ML solutions.
  • Configures software applications and platforms while executing test scenarios including unit, integration, performance, regression, and acceptance tests.
  • Provides application and platform support services to meet performance, availability, and customer service level agreement targets.
  • Performs system analysis, debugging, and root cause analysis for incidents and outages.
  • Adheres to project management, software development, testing, service management, and change management processes.
  • May manage execution of SOX controls and testing while supporting internal and external audits.
  • May manage small continuous improvement projects regarding scope, timeline, budget, and quality.

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