Amazon Web Services (AWS) · 7 hours ago
Data Scientist, Data and Machine Learning, WWPS US Federal
Herndon, VA
Full-time
Onsite
Entry, Mid Level
$136K/yr - $184K/yr
2+ years expAmazon Web Services (AWS) is seeking experienced data scientists to help the US Intelligence Community design and implement AI algorithms, including Generative AI solutions. The role involves collaborating with customers to understand their data challenges and building tailored solutions while providing guidance and support to other engineers in the field of data science and AI.
Artificial Intelligence (AI)Cloud ComputingConsultingSoftwareInformation TechnologyAgentic AIDevOpsWeb Development
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 Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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