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

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