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Amazon · 1 month ago

Data Scientist, Data and Machine Learning, WWPS US Federal

St Louis, Missouri, USA

Full-time

Hybrid

Mid Level

$136K/yr - $184K/yr

3+ years exp

Amazon Web Services (AWS) is seeking experienced data scientists to assist the US Intelligence Community in implementing AI algorithms and machine learning solutions. The role involves collaborating with customers to address data challenges, designing tailored solutions, and providing guidance to stakeholders.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail

No H1B

Security Clearance Required

U.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

Machine LearningDeep LearningPythonAWS ServicesData ModelingBusiness AcumenCommunication SkillsProblem Solving

Required

Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent

3+ 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 (i.e. Tensorflow, Keras, PyTorch, MXNet)

Current, active US Government Security Clearance of TS/SCI

Preferred

Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field

AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch)

Practical experience in solving complex problems in an applied environment

Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX

Experience building applications leveraging GenAI

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