Amazon Web Services (AWS)
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services (AWS), Saint Louis, Missouri, United States, 63146
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)
Application deadline: 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 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 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., TensorFlow, 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., 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.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.
Colorado: $159,200 – $215,300 annually
National: $143,300 – $247,600 annually
Job ID: A3139664
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Project Management, Information Technology, and Product Management
Industries IT Services and IT Consulting
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Senior Data Scientist, Data and Machine Learning, WWPS US Federal
role at
Amazon Web Services (AWS)
Application deadline: 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 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 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., TensorFlow, 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., 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.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.
Colorado: $159,200 – $215,300 annually
National: $143,300 – $247,600 annually
Job ID: A3139664
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Project Management, Information Technology, and Product Management
Industries IT Services and IT Consulting
#J-18808-Ljbffr