Amazon Web Services (AWS)
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon Web Services (AWS), Jessup, Maryland, United States, 20794
Senior Data Scientist, Data and Machine Learning, WWPS US Federal
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Senior Data Scientist, Data and Machine Learning, WWPS US Federal
role at
Amazon Web Services (AWS)
Description
Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The AWS US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI). We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.
In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. 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 is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. It is expected to work from one of the above locations (or customer sites) at least 1+ days per week. This is not a remote position. You are expected to be in the office or with customers as needed.
Key job responsibilities
Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real-world challenges.
Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures.
Interact with customers directly to understand the business problem, help implement AI solutions, deliver briefing and deep-dive sessions, and guide customer adoption patterns and paths to production.
Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders.
Provide customer and market feedback to Product and Engineering teams to help define product direction.
This position may require up to 25% local travel.
About The Team Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — customers range from successful startups to Global 500 companies rely on our products and services.
Qualifications Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
5+ years of experience migrating and transforming legacy SIGINT/Cyber capabilities through data science and ML approaches; and building models within SIGINT/Cyber operational constraints.
Professional experience applying data science within Intelligence Community production chains.
Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or ML.
Current, active US government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
Masters or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field.
Experience using Python and building models with deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet).
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 during the application and hiring process, please visit the amazon accommodations page for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market to $247,600/year in our highest geographic market. Pay is based on factors including location, knowledge, skills, and experience. Amazon is a total compensation company; depending on the position, equity, sign-on bonuses, and other compensation may be provided in addition to benefits. For more information, visit our workplace benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3054883
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)
Description
Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The AWS US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI). We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.
In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. 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 is expected to work within the Ft. Meade/CMD location, and requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. It is expected to work from one of the above locations (or customer sites) at least 1+ days per week. This is not a remote position. You are expected to be in the office or with customers as needed.
Key job responsibilities
Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real-world challenges.
Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures.
Interact with customers directly to understand the business problem, help implement AI solutions, deliver briefing and deep-dive sessions, and guide customer adoption patterns and paths to production.
Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders.
Provide customer and market feedback to Product and Engineering teams to help define product direction.
This position may require up to 25% local travel.
About The Team Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — customers range from successful startups to Global 500 companies rely on our products and services.
Qualifications Basic Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
5+ years of experience migrating and transforming legacy SIGINT/Cyber capabilities through data science and ML approaches; and building models within SIGINT/Cyber operational constraints.
Professional experience applying data science within Intelligence Community production chains.
Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or ML.
Current, active US government Security Clearance of TS/SCI with Polygraph.
Preferred Qualifications
Masters or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field.
Experience using Python and building models with deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet).
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 during the application and hiring process, please visit the amazon accommodations page for more information.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market to $247,600/year in our highest geographic market. Pay is based on factors including location, knowledge, skills, and experience. Amazon is a total compensation company; depending on the position, equity, sign-on bonuses, and other compensation may be provided in addition to benefits. For more information, visit our workplace benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3054883
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Project Management, Information Technology, and Product Management
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at AWS. Get notified about new Senior Data Scientist jobs in Jessup, MD.
#J-18808-Ljbffr