Data Scientist, Data and Machine Learning, WWPS US Federal

Overview

Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The 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 (GenAI) methods.

We build models and Machine Learning Operations pipelines 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 (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.

At AWS, we’re hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains.

• In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS’s AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems.
• You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases.
• You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale.
• You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions.
• You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.
• This position may require up to 25% local travel.

This position is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.

It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

• Bachelor’s degree in Computer Science, Engineering, related field, or equivalent experience.
• 3+ 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.

• 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.

Amazon Web Services, Inc.

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