Amazon Data Scientist Machine Learning WWPS US Federal 

United States, Texas, Arlington 

845997177

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 deep expertise in NLP/NLU, generative AI, 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 be a US Citizen and obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
In this role, you will:- Provide expertise and guidance in generative AI and document processing infrastructure, design, implementation, and optimization.- Maintain domain knowledge and expertise in generative AI, NLP, and NLU.- Architect and build large-scale solutions.
- Build technical solutions that are secure, maintainable, scalable, reliable, performant, and cost-effective.- Identify, mitigate and communicate risks related to solution and service constraints by making technical trade-offs.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree and 5 years of experience or Master's degree and 2 years of experience
- 5+ years of data scientist experience including 5+ years of programming in a scripting language (e.g. Python, JavaScript) and 3+ years deploying, operating, and maintaining machine learning models
- 3+ years of experience building models for business applications
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning

- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX