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

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

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

Apply for the Senior Data Scientist, Data and Machine Learning, WWPS US Federal role at Amazon Web Services (AWS)

Final date to receive applications:
Applications will be accepted on an ongoing basis

Are you excited to help the U.S. Intelligence Community 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? The Amazon Web Services (AWS) U.S. Federal Professional Services team works directly with U.S. Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods.

We build models for text, image, video, audio, and multi‑modal use cases, leveraging both traditional ML approaches and state‑of‑the‑art generative models such as Large Language Models (LLMs), text‑to‑image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to deliver solutions and drive feature innovation based on customer needs.

At AWS, we’re hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems.

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 broad experience building models using all kinds of data sources, and building data‑intensive applications  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 a current TS/SCI Security Clearance and the candidate must opt into a commensurate clearance for each government agency for which they perform AWS work.

Key job 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.
  • Travel locally up to 25% of the time.
Basic Qualifications
  • 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 US Government Security Clearance of TS/SCI.
Preferred Qualifications
  • Master’s or PhD 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 in solving complex problems in an applied environment.
  • Hands‑on experience building models with deep learning frameworks like PyTorch, Tensor Flow, or JAX.
  • Experience building applications leveraging GenAI.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status,…

Position Requirements
10+ Years work experience
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