Senior Data Scientist - Data and Machine Learning, WWPS ProServe

Senior Data Scientist - Data and Machine Learning, WWPS Pro Serve

Join to apply for the Senior Data Scientist - Data and Machine Learning, WWPS Pro Serve role at Amazon Web Services (AWS).

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

We help the US Intelligence Community design, build, and implement AI algorithms—including advanced generative AI solutions—to augment decision‑making while ensuring reliability, transparency, and scalability. The AWS US Federal Professional Services team works directly with intelligence agencies and public‑sector entities to achieve mission goals through ML and generative AI methods. We develop models for text, image, video, audio, and multimodal use cases, leveraging traditional ML and state‑of‑the‑art generative models such as LLMs and text‑to‑image generation.

Our team collaborates across the AWS organization to deliver the right solutions and drive feature innovation based on customer needs.

• 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 business problems, help them implement AI solutions, deliver briefings and deep‑dive sessions, and guide adoption patterns and paths to production.
• Create and deliver best‑practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
• Provide customer and market feedback to Product and Engineering teams to help define product direction.
• Travel locally up to 25% of the time.

The position requires the candidate to currently possess and maintain an active TS/SCI Security Clearance with Polygraph, and opt into a commensurate clearance for each government agency for which work is performed.

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, MATLAB).
• 4+ years of data scientist experience.
• Experience with statistical models such as multinomial logistic regression.
• Current, active US Government Security Clearance of TS/SCI with Polygraph.

• 2+ years of data visualization experience using AWS Quick Sight, Tableau, R Shiny, etc.
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Salary range:
Colorado $159,200 – $215,300 annually;
National $143,300 – $247,600 annually.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Accessible hiring accommodations are available for applicants with disabilities.