Senior Data Scientist, Data and Machine Learning, WWPS US Federal jobs in United States
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Amazon · 5 months ago

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

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and they are seeking a Senior Data Scientist to help the US Intelligence Community design and implement artificial intelligence algorithms. The role involves collaborating with AI/ML scientists, interacting with customers to understand their data challenges, and building tailored solutions using AWS's AI/ML services.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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

Data ScienceMachine LearningGenerative AISIGINT experiencePythonDeep Learning FrameworksMLOpsBusiness AcumenCommunication Skills

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 is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase