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Advanced Data Handling: Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools.
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3+ years of experience with artificial intelligence, data science, Client engineering, data research, software engineering, or data analytics. BS in Computer Science, Software Engineering, Data Science, Statistics, or STEM related specialty.
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7 + years of work experience in data engineering, data science, software engineering or relevant other hands-on-keyboard experience. Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline ( Masters degree preferred.
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Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Computer Information Systems, Telecommunications, or Management Information Systems. Experience with network hardware and software from major vendors (e.g., Cisco, Juniper, Fortinet.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area.
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BS in Computer Science, Software Engineering, Data Science, engineering, data research, software engineering, or data analytics.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. The DarkStar Group's team provides Analytic Software Development, Data Engineering, and Cloud Migration services, as well as interagency communication and data-sharing solutions, as part of an enterprise program that spans two major Intelligence Community customers.
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Our team boasts unparalleled experience in software and systems engineering, with competencies spanning across a multitude of high-demand areas, from cloud-native technologies and software modernization to embedded engineering, data science, and beyond.
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Bachelor's degree (BS/BA) in a physical science, engineering, mathematics, library science, or information science program or other program including at least 24 semester hours in physical science.
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Basic Qualifications:Bachelor of Science degree, preferably in Engineering or Physics Previous Officer of the Deck (OOD) underway or equivalent experienceThree (3) years of hands-on, demonstrated experience with navigation and/or piloting safety working with U.S. Uniformed Services shipsPreferred Qualifications:Five (5) years of experience with both submarine and surface ship acoustics.
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We Offer a Broad Range Of Technical Expertise And Experience In Professional Services, Digital Transformation, Data Management/Data Science, And Systems Modernization. Knowledge of common hardware and software, familiarity with cloud computing, computer security, DevOps, Agile methodologies, and emerging technologies such as artificial intelligence.
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Bachelor’s degree in data science, data visualization, computer science, information technology, software engineering, or related field. Identify data, analytic and teaching tools, virtual platforms, software, that can be adapted for diverse organizational, operational and functional contextual requirements.
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With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
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Experience leading engagements with substantial exposure and involvement with data science, cloud infrastructure, solution architecture, application development, and data engineering.
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software engineering data science jobs in Washington, DC
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