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Gauss Labs
Gauss Labs
11 – 50 Angajați
Sponsor pentru viza H1BConstrucțiiConsultanțăIndustria auto
Gauss Labs dezvoltă soluții de inteligență artificială industrială pentru producție, aplicând învățarea automată la monitorizarea și controlul proceselor, precum și la detectarea anomaliilor. Portofoliul său de produse include Panoptes Virtual Metrology, Image Metrology și Root Cause Analysis, ajutând producătorii să îmbunătățească precizia proceselor și eficiența operațională. Compania se concentrează inițial pe fabricarea semiconductorilor și își extinde aplicațiile de inteligență artificială către producția de automobile, baterii, produse electronice și produse farmaceutice.
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Locurile de muncă ale companiei

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.

USStatele Unite ale AmericiiCACaliforniaHibridNormă întreagăSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
AWSAzureCloudPythonSQL

Descriere

  • 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

Cerințe

  • 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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