Graduate Fellow - Applied Data Science

2 days ago

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Auratech LLC

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Home Theatre Systems • Custom Home Cinemas • Hi-Fi Audio Systems • Home Automation Solutions

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Description

• Work with technical and non-technical colleagues to write, refine, and edit technical and scientific applied approaches • Prepare white papers, proposals, presentations, and other documents • Collaborate with technical staff in a collaborative manner • Ensure all documents conform to submission requirements, guidelines, etc. • Opportunity to work on product documentation, technical reports, presentations, and contribute to technical marketing materials • Produce consistent, coherent, well-written work-products in English

Requirements

• US Citizens or permanent residents will be considered for this position • Demonstrable outstanding proficiency in technical writing in English; if possible, please provide or be prepared to provide a portfolio or examples of your work • You will be required to produce a real-time writing sample as part of the interview process without the aid of a computer • Excellent understanding of Engineering and related principles, concepts, and practice as applied to AI/ML and Data Science, and demonstrable ability to clearly communicate the same to technical audiences • Demonstrable ability to rapidly dive into and establish sufficient fluency in unfamiliar technical subjects to integrate, synthesize, and narrate content • Eager to learn and dogged in asking and getting answers to questions • Detail-oriented with respect to both form (grammar, punctuation, etc.) and content (coherent narrative, clear exposition, flow, voice, etc.) • Effectively communicate with/to specific audiences or a diversity of audiences, question assumptions about the reader, and, for product documentation, be mindful of the end-user’s perspective • Expert proficiency in Microsoft Word

Benefits

• Flexible schedule • MetLife Voluntary Benefits (e.g. term life insurance, critical illness care, hospital indemnity insurance, & legal services) * Subject to eligibility based on average weekly hours