Senior Data Scientist, Data and Machine Learning, WWPS US Federal

Senior Data Scientist, Data and Machine Learning, WWPS US Federal 1 day ago Be among the first 25 applicants Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi‑modal use cases, leveraging both traditional ML approaches and state‑of‑the‑art generative models including Large Language Models, text‑to‑image generation, and other advanced AI capabilities to fit the mission. Key job responsibilities Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real‑world challenges. Interact with customers directly to understand the business problem, help them implement AI solutions, deliver briefing and deep‑ dive sessions, and guide adoption 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. Travel up to 25% local as required. Basic Qualifications 5+ years of building models for business applications. 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 (e.g., TensorFlow, Keras, PyTorch, MXNet). Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications Master's or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field. AWS experience preferred, with proficiency in SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch. Practical experience solving complex problems in an applied environment. Hands‑on experience building models with deep learning frameworks like PyTorch, TensorFlow, or JAX. Experience building applications leveraging Generative AI. About The Team Amazon Web Services (AWS) is the world’s most comprehensive and widely adopted cloud platform. We pioneer cloud computing and innovate continuously, powering businesses from startups to Global 500 companies. Benefits and Compensation The base salary range for this position is listed below. For salaried roles, the Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, and more. Learn more at https://amazon.jobs/en/benefits/us-benefits-and-stock. Colorado: $136,000 - $184,000 annually National: $125,500 - $212,800 annually EEO Statement Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Job Details Job ID: A3131673 #J-18808-Ljbffr