Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services, Inc.
Jessup, MD, U.S.
Full-time, Part-time, Contract, Regular, Temporary
Posted Sep 12, 2025
Onsite
Compensation
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About the role
Senior Data Scientist, Data and Machine Learning, WWPS US Federal - Job ID: 3054883 | Amazon.jobs
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.
Requirements
- 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.
Benefits
- 401k matching
- Health insurance
- Flight privileges
- Equity
- Sign-on payments
About the Company
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.
Job Details
Salary Range
$143,300 - $247,600/yearly
Location
Jessup, MD, U.S.
Employment Type
Full-time, Part-time, Contract, Regular, Temporary
Original Posting
View on company website