Amazon Web Services (AWS) · 10 hours ago
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services (AWS) is seeking a Senior Data Scientist to help the US Intelligence Community design and implement AI algorithms, focusing on Machine Learning and Generative AI solutions. The role involves collaborating with customers to address data challenges, developing tailored solutions, and driving innovation in data science and AI.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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 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 stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction
This position may require up to 25% local travel
Qualification
Required
Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
5+ years of experience 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 (i.e. Tensorflow, Keras, PyTorch, MXNet)
Current, active US Government Security Clearance of TS/SCI
Preferred
Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch)
Practical experience in 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 GenAI
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2025-12-31
2025-12-31
2025-12-30
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