Data Scientist- Install Automation

Responsibilities * Develop and deploy AI, machine learning, and analytics solutions to support Install Automation, Auto Sequencing, Smart Sequencing, and task automation initiatives. * Build predictive and optimization models that improve installation efficiency, resource utilization, workflow execution, and cycle-time performance. * Analyze engineering, installation, service, and operational data to identify patterns, predict outcomes, and drive automation decisions. * Design and implement data pipelines, feature engineering, model training, validation, deployment, and monitoring processes. * Apply machine learning, optimization techniques, and Generative AI to automate engineering workflows, documentation, and decision-making. * Create dashboards and KPI frameworks to measure automation effectiveness, productivity improvements, and business impact. * Partner with Engineering, Manufacturing, Service, and Digital Transformation teams to develop and scale enterprise automation solutions. * Document methodologies, models, and best practices to support adoption across global teams. Requirements * Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Artificial Intelligence, or 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. * Strong analytical, problem-solving, and communication skills with the ability to translate complex data into business value. * Willingness to travel internationally (approximately 10%). ## Qualifications ### Education: Bachelor's Degree ### Skills ### Certifications: ### Languages: ### Years of Experience: 2 - 4 Years ### Work Experience: ## Additional Information ### ### Shift: 10-Day 8-Hr (United States of America) ### ### Travel: Yes, 10% of the Time ### ### Relocation Eligible: Yes ### Referral Payment Plan: Employee Referral (Standard) Salary Range: $78,500.00 - $108,000.00 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 committed to diversity in the workplace. All 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.