Gauss Labs
Gauss Labs
Gauss Labs өндіріс саласына арналған өнеркәсіптік жасанды интеллект шешімдерін әзірлейді және машиналық оқытуды процестерді бақылау, басқару және аномалияларды анықтау бағыттарында қолданады. Компанияның өнімдер портфеліне Panoptes Virtual Metrology, Image Metrology және Root Cause Analysis кіреді. Олар өндірушілерге процестердің дәлдігін және операциялық тиімділікті арттыруға көмектеседі. Компания бастапқыда жартылай өткізгіштер өндірісіне назар аударған, ал қазір жасанды интеллект қолданбаларын автомобиль, аккумулятор, электроника және фармацевтика өндірісіне кеңейтіп жатыр.

Senior Data Scientist, Manufacturing AI (Hybrid)

Lead manufacturing-focused AI and data science initiatives at Gauss Labs in a hybrid role. Build scalable industrial AI solutions by combining customer data analysis, modeling, and cross-functional product collaboration.

Сипаттама

  • Create and deploy tailored AI solutions for manufacturing environments
  • Examine manufacturing data to uncover opportunities and build predictive models
  • Work directly with customers to define needs and deliver understandable, evidence-based solutions
  • Coordinate with internal teams to validate feasibility, scalability, and product alignment
  • Communicate analytical results to both technical and non-technical audiences
  • Guide the creation of advanced AI applications for manufacturing use cases
  • Extract insights from customer datasets to identify valuable opportunities
  • Build custom data models and analytical tools around customer requirements
  • Partner across functions to develop AI products and shape potential product enhancements

Талаптар

  • Bachelor’s or master’s degree in engineering, science, or a related discipline
  • At least three years leading AI or data science projects in semiconductor manufacturing or another manufacturing domain
  • Demonstrated ability to solve complex problems with a strong customer-oriented approach
  • Proficiency with Python and SQL
  • Capacity to work effectively both independently and collaboratively
  • A master’s degree in computer science, data science, or a related area is preferred
  • Experience with predictive modeling and cloud services such as AWS, Azure, or Google Cloud is preferred
  • Strong communication skills, including the ability to explain complex technical ideas clearly, are preferred

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