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

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

Amazon Web Services (AWS) US Federal Professional Services team works directly with U.S. Intelligence Community agencies to design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision‑making while meeting the highest standards for reliability, transparency, and scalability.

In this role you will work closely with customers to deeply understand their data challenges, design tailored solutions, and collaborate across the AWS organization to deliver the right innovation to customers.

Location:

Arlington, VA (or as assigned by agency)

• 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 business problems, assist in implementation of AI solutions, deliver briefings and deep‑dive sessions, and guide customers on production adoption.
• Create and deliver best‑practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.
• Travel locally up to 25% of the time.

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent.
• 5+ years of experience building models for business applications.
• 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.
• Experience using Python and hands‑on experience building models with deep learning frameworks (e.g., Tensor Flow, Keras, PyTorch, MXNet).
• Current, active U.S. Government Security Clearance of TS/SCI.

• Masters or Ph.D. degree in computer science, engineering, mathematics, operations research, or a highly quantitative field.
• AWS experience preferred, with proficiency in a range of AWS services (e.g., Sage Maker, Bedrock, EC2, ECS, EKS, Open Search).
• Practical experience solving complex problems in an applied environment.
• Hands‑on experience building models with deep learning frameworks such as PyTorch, Tensor Flow, or JAX.
• Experience building applications leveraging Generative AI.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation, please visit (Use the "Apply for this Job" box below)..

The base salary range for this position is:

• Colorado: $159,200 – $215,300 annually
• National: $143,300 – $247,600 annually

Job : A3139664