Amazon Web Services (AWS) · 1 day ago
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services (AWS) is seeking experienced Data Scientists to help the US Intelligence Community design and implement AI algorithms. The role involves collaborating with customers to understand their data challenges and building tailored AI/ML solutions to meet their needs.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
5+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and building models within SIGINT/Cyber operational constraints
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
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
Experience using Python and hands on experience building models with deep learning frameworks (i.e., Tensorflow, Keras, PyTorch, MXNet)
Experience building applications leveraging GenAI
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
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
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