Data Scientist, Install Automation

Applied Materials

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Quick summary

Work type
On-site
Location
Austin, TX
Employment
Full-time
Posted
46 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $166k
$98k $233k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $128,005–$203,050.

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 337 open roles on FindRole.

Listed pay typically runs $124,000–$171,000 across 219 roles with salary data.

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At a glance

TL;DR · Data Scientist, Install Automation

JOB TITLE: Data Scientist- Install Automation The Data Scientist- Install Automation joins the team to develop and deploy AI, machine learning, and analytics solutions supporting install automation, auto sequencing, and smart sequencing initiatives. The role involves building predictive and optimization models to improve installation efficiency, resource utilization, and cycle-time performance. Key responsibilities include designing data pipelines, performing feature engineering, and implementing model training, validation, and monitoring processes. The candidate will utilize Python along with frameworks like Scikit-Learn, TensorFlow, and PyTorch to apply supervised learning, deep learning, and Generative AI. This position focuses on automating engineering workflows and decision-making by analyzing large-scale engineering, manufacturing, service, and operational datasets within the semiconductor equipment and industrial automation domain to drive measurable productivity improvements and business impact.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Develop and deploy AI, machine learning, and analytics solutions for install and task automation.
  • Build predictive and optimization models to improve installation efficiency and cycle-time performance.
  • Analyze engineering and operational data to identify patterns and drive automation decisions.
  • Design and implement data pipelines, feature engineering, model training, and monitoring processes.
  • Apply Generative AI and optimization techniques to automate engineering workflows and documentation.
  • Create dashboards and KPI frameworks to measure automation effectiveness and business impact.
  • Document methodologies and best practices to support global adoption of automation solutions.

What we're looking for

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Artificial Intelligence, or a related field.
  • 3+ years of experience in Data Science, Machine Learning, AI, Advanced Analytics, or Process Automation.
  • Strong proficiency in Python and machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or equivalent.
  • Experience developing predictive models, optimization algorithms, recommendation systems, or workflow automation solutions.
  • Knowledge of supervised and unsupervised learning, deep learning, Generative AI, and statistical modeling.
  • Experience working with large-scale engineering, manufacturing, service, or operational datasets.
  • Semiconductor equipment, industrial automation, or field service experience (preferred).
  • Willingness to travel internationally approximately 10% of the time.

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