Amazon · 9 hours ago
Data Scientist, Data and Machine Learning, WWPS US Federal
Herndon, Virginia, USA
Full-time
Onsite
Entry, Mid Level
$136K/yr - $184K/yr
2+ years expAmazon Web Services (AWS) is seeking experienced data scientists to support the US Intelligence Community in designing and implementing AI algorithms. The role involves collaborating with customers to understand their data challenges and developing tailored AI solutions while providing guidance and industry best practices.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges
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 stakeholder
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
2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of working with or evaluating AI systems experience
Current, active US Government Security Clearance of Top Secret or above
Preferred
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience working on multi-team, cross-disciplinary projects
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-02-09
The Motley Fool
2026-02-09
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