3 дня назад
Data Scientist - Install Automation (AI)
78 500 - 108 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist - Install Automation (AI) (Machine Learning and Industrial Automation): Developing predictive, optimization, and Generative AI solutions for installation, sequencing, and engineering workflow automation with an accent on machine learning, data pipelines, and operational analytics. Focus on training and deploying models, improving installation efficiency and cycle-time performance, and measuring automation impact across semiconductor equipment operations.
Location: Austin, TX, United States
Salary: $78,500–$108,000 per year
Company
develops materials science, engineering, and semiconductor equipment solutions used in semiconductor chips and advanced displays.
What you will do
- Develop and deploy AI, machine learning, and analytics solutions for Install Automation, Auto Sequencing, Smart Sequencing, and task automation.
- Build predictive and optimization models to improve installation efficiency, resource utilization, workflow execution, and cycle-time performance.
- Analyze engineering, installation, service, and operational data to identify patterns, predict outcomes, and support automation decisions.
- Design data pipelines and processes for feature engineering, model training, validation, deployment, and monitoring.
- Apply machine learning, optimization techniques, and Generative AI to engineering workflows, documentation, and decision-making.
- Create dashboards and KPI frameworks, and collaborate with Engineering, Manufacturing, Service, and Digital Transformation teams to scale automation solutions.
Requirements
- 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 Python skills and experience with Scikit-Learn, TensorFlow, PyTorch, or equivalent frameworks.
- 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 with large-scale engineering, manufacturing, service, or operational datasets; willingness to travel internationally approximately 10%.
Nice to have
- Experience with semiconductor equipment, industrial automation, or field service.
Culture & Benefits
- Supportive work culture focused on learning, development, and career growth.
- Comprehensive employee benefits and programs supporting health and wellbeing.
- Additional compensation may include bonuses and stock awards, as applicable.
- Relocation eligible.
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