Amazon Web Services, Inc.

Data Science, Science, Cloud Computing

SeniorDataScientist-DataandMachineLearning,WWPSProServeDataandMachineLearning

$143–248k Herndon, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms”

Industry & Context.

Data Science, Science, Cloud Computing
Problems you'll solve

Solve complex problems

Eligibility Requirements

TS/SCI with Polygraph, Up to 25% local travel

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 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, 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

Nice to Have

Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, 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

What You'll Do.

Research AI algorithms

Develop AI algorithms

Evaluate AI algorithms

Interact with customers

Understand business problem

Aid customers in implementation of AI solutions

Deliver briefing sessions to customers

Deliver deep dive sessions to customers

Guide customer on adoption patterns

Guide customer on paths to production

Create best practice recommendations

Deliver best practice recommendations

Deliver presentations

Provide customer feedback

Provide market feedback

How You'll Work.

Team & Collaboration

AI/ML scientists; Architects; Product teams; Engineering teams

Communication Scope

Customer briefings; Deep dive sessions; Executive stakeholder presentations

Full Job Description

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 (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. 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 can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, 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 requires that the candidate selected must currently possess and mainta

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