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General Motors
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Montpelier, Vermont
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solutions, focusing on the company’s most critical business areas.
As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward
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General Motors
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Montpelier, Vermont
...
solutions, focusing on the company’s most critical business areas.
As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward
...
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General Motors
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Montpelier, Vermont
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:** Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field ... Technical Lead to join our AI Center. The ideal candidate is a Data Scientist with a proven track record of
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General Motors
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Montpelier, Vermont
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working with CAD (Computer Aided Design) data, visualization tools or game engines ( Unreal Engine ... (Preferred Qualifications)**
Master's degree in computer science or related field, or equivalent work
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General Motors
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Montpelier, Vermont
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!
What You’ll Do & How You’ll Impact:
As a Data Science intern, you will have an opportunity to work on project(s) that may entail:
Developing analytical solutions by applying data science and
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General Motors
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Montpelier, Vermont
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of experience successfully leading data science technical teams or work
Master’s Degree or Ph.D ... Job Description
The Role
The Data Science Manager in Marketing Applied Sciences
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General Motors
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Montpelier, Vermont
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performance of statistical, AI, and/or machine learning based models.
Master’s Degree or Ph.D. in Data ... Job Description
The Role
The Staff Data Scientist is a senior level role and an
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General Motors
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Montpelier, Vermont
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, Strategic Technology Partnerships, Enterprise Innovation, Culture, and Data & Analytics.
The Culture team ... with data and research to inform action taking with our employees and customers in mind
**Required
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General Motors
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Montpelier, Vermont
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degree in Computer Science, Engineering, or related field; Master’s degree preferred.
Proven experience (8+ years) in designing and building scalable data platforms and data pipelines.
Experience
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