Senior Data Scientist - Data and Machine Learning, WWPS ProServe
Listed on 2026-01-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Senior Data Scientist - Data and Machine Learning, WWPS Pro Serve
Job | Amazon Web Services, Inc.
Final date to receive applications:
Applications will be accepted on an ongoing basis.
Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards of reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US 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 including 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 bring access to product and service teams, to get the right solution delivered 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 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.
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 customers 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 stakeholders.
- Provide customer and market feedback to Product and Engineering teams to help define product direction.
- May require up to 25% local travel.
Amazon Web Services (AWS) US Federal Professional Services team works across the entire AWS organization to bring access to product and service teams, deliver the right solution, and drive feature innovation based on customer needs.
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating— that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences and inspire us to never…
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