Product Line Management Data Science, New College Grad- Bachelor's/Master's (Santa Clara, CA)

Applied materials

Job Summary

Applied Materials is a global leader in materials engineering solutions for chip and advanced display production. This role involves product line management data science, focusing on leveraging data analytics and machine learning to drive strategic decisions. Responsibilities include product lifecycle analysis, supply chain management, and developing predictive models. The company offers a supportive culture, career development, and comprehensive benefits, empowering employees to innovate in materials science and engineering.

Must Have

  • Knowledge of product life cycle analysis, product change notification, order management, planning, supply chain management
  • Familiarity with semiconductor equipment parts and their basic functions
  • Strong engineering mindset and ability to interpret engineering data
  • Understanding of AGS POA of Spares and Service
  • Knowledge of SAP, ERP, or PLM tools
  • Ability to apply data analytics to service agreements, parts replacement, and spares
  • Proficiency in data analysis and modeling using Python, SQL, Excel, and Tableau
  • Ability to conduct frontend development (HTML, CSS, JavaScript, React, Angular, or Vue)
  • Ability to create responsive design and apply UI/UX principles
  • Ability to integrate data analytics reports into web-based platforms
  • Experience developing and implementing 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 analysis of multiple information sources
  • Ability to provide strategic recommendations based on statistical and data analysis
  • Demonstrable problem-solving and effective presentation skills
  • Ability to establish trust-based relationships and work effectively with diverse teams
  • Experience in tracking and monitoring competitor activity and centralizing intelligence
  • Ability to identify new market opportunities and define market share strategies
  • Bachelor/Masters/MBA in Analytics, Engineering, Product Marketing, Product Management, or related field
  • Strong problem-solving and stakeholder communication skills
  • Experience in web application development (frontend and backend)

Good to Have

  • Relevant experience in Semiconductor or Adjacent industries
  • Industry experience in a Data Analytics environment

Perks & Benefits

  • Supportive work culture for learning, development, and career growth
  • Programs and support for personal and professional growth
  • Comprehensive benefits package
  • Participation in bonus and stock award program (as applicable)
  • Health and wellbeing programs

Job Description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary: $80,000.00 - $110,000.00

Location: Santa Clara,CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key 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

Qualifications

  • Bachelor/Masters/MBA in Analytics, Engineering, Product Marketing, Product Management, or related considered
  • Relevant experience in Semiconductor or Adjacent industries highly desirable
  • Industry Experience in Data Analytics environment is a plus
  • Strong problem-solving and stakeholder communication skills
  • Experience in web application development (frontend and backend)
  • Desired Technical Skills:
  • Frontend: HTML, CSS, JavaScript (React/Angular/Vue)
  • Data Engineering & Modeling: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Database: SQL

Functional Knowledge

  • Demonstrates conceptual knowledge of theories, practices and procedures within a discipline

Business Expertise

  • Applies general knowledge of business developed through education or past experience

Leadership

  • No supervisory responsibilities; accountable for developing technical contribution

Problem Solving

  • Uses existing procedures to solve standard problems; analyzes information and standard practices to make judgments

Impact

  • Has limited impact on own work team; works within standardized procedures and practices to achieve objectives and meet deadlines

Interpersonal Skills

  • Exchanges straightforward information, asks questions and checks for understanding

Applications will be reviewed on a rolling basis. Please apply by January 30, 2026. Note: This position may close early based on application volume or candidate selection.

Additional Information

Time Type: Full time

Employee Type: New College Grad

Travel: Yes, 10% of the Time

Relocation Eligible: Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at AccommodationsProgram@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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22 Skills Required For This Role

Team Management Excel Communication Data Analytics Sap Forecasting Budgeting Retention Strategies Game Texts React Html Tableau Model Deployment Data Science Scikit Learn Pytorch Angular Python Sql Tensorflow Javascript Css Machine Learning

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