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Mid-Level SIGINT Data Scientist Data & Machine Learning

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Mid-Level SIGINT Data Scientist Data & Machine Learning

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Jobright.ai Mid-Level SIGINT Data Scientist Data & Machine Learning

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Mid-Level SIGINT Data Scientist Data & Machine Learning

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Amazon Web Services (AWS) is seeking experienced Data Scientists to support the US Intelligence Community in leveraging artificial intelligence (AI) and machine learning (ML) for mission-critical operations. The role involves designing and implementing AI algorithms, collaborating with customers to address data challenges, and building tailored solutions that enhance decision-making capabilities. Responsibilities: Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real world challenges. Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures. Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. This position may require up to 25% local travel. Qualifications: Required: Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience. 3+ years of data science and/or model building experience working within SIGINT/Cyber operational constraints. 3+ years of migrating or transforming legacy SIGINT/Cyber capabilities with data science or machine learning approaches. Professional experience applying data science within Intelligence Community production chains. Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning. Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet). Current, active US government Security Clearance of TS/SCI with Polygraph. Preferred: Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level

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