Applied Materials · 6 hours ago
Product Line Management Data Science, New College Grad- Bachelor's/Master's (Santa Clara, CA)
Santa Clara, CA
Full-time
Onsite
New Grad, Entry Level
$80K/yr - $110K/yrApplied Materials is a global leader in materials engineering solutions used to produce advanced chips and displays. The role involves product line management and data science, focusing on data analytics, machine learning, and product lifecycle analysis to drive strategic recommendations and innovations.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
Knowledge and experience in product life cycle analysis, product change notification, order management, planning, supply chain management
Familiar with the parts used on semiconductor equipment, understand the basic functions of the parts
Strong engineering mindset, be able to interpret the data collected by engineering team
Good understanding of AGS POA of Spares and Service
Knowledge of SAP or any ERP or PLM tools
Apply data analytics to service agreements, parts replacement, and spares to identify trends and guide strategy development
Ability to perform data analysis and modelling using Python/SQL/Excel and Tableau considered
Ability to conduct frontend development such as HTML, CSS, JavaScript (and frameworks like React, Angular, or Vue)
Ability to create responsive design and UI/UX principles
Ability to integrate data analytics reports into web-based platforms
Develop and implement machine learning models for predictive maintenance, demand forecasting, and anomaly detection
Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model deployment best practices
Ability to exercise judgment based on the analysis of multiple sources of information
Ability to provide strategic recommendations based on statistical and data analysis
Demonstratable problem solving skills and presenting effectively to a variety of stakeholders
Establish trust-based relationships and work effectively with diverse teams
Track and monitor competitor activity and centralize the intelligence information for business decision making
Identify new Market opportunities, define market share penetration and retention strategies with sales and FSO teams
Qualification
Required
Bachelor/Masters/MBA in Analytics, Engineering, Product Marketing, Product Management, or related considered
Knowledge and experience in product life cycle analysis, product change notification, order management, planning, supply chain management
Familiar with the parts used on semiconductor equipment, understand the basic functions of the parts
Strong engineering mindset, be able to interpret the data collected by engineering team
Good understanding of AGS POA of Spares and Service
Knowledge of SAP or any ERP or PLM tools
Apply data analytics to service agreements, parts replacement, and spares to identify trends and guide strategy development
Ability to perform data analysis and modelling using Python/SQL/Excel and Tableau considered
Ability to conduct frontend development such as HTML, CSS, JavaScript (and frameworks like React, Angular, or Vue)
Ability to create responsive design and UI/UX principles
Ability to integrate data analytics reports into web-based platforms
Develop and implement machine learning models for predictive maintenance, demand forecasting, and anomaly detection
Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and model deployment best practices
Ability to exercise judgment based on the analysis of multiple sources of information
Ability to provide strategic recommendations based on statistical and data analysis
Demonstratable problem solving skills and presenting effectively to a variety of stakeholders
Establish trust-based relationships and work effectively with diverse teams
Track and monitor competitor activity and centralize the intelligence information for business decision making
Identify new Market opportunities, define market share penetration and retention strategies with sales and FSO teams
Preferred
Relevant experience in Semiconductor or Adjacent industries highly desirable
Industry Experience in Data Analytics environment is a plus
Benefits
Comprehensive benefits package
Participation in a bonus and a stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
Founded in 1967
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
Senior Vice President and Chief Technology Officer
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-23
2026-01-23
2026-01-22
Company data provided by crunchbase