Principal Data Scientist, WWPS ProServe

Amazon • Herndon, VA

2d

About The Position

This position requires that the candidate selected be a US Citizen and currently
possess and maintain an active Top Secret security clearance.

The Amazon Web Services Professional Services (ProServe) team seeks an
experienced Principal Data Scientist to join our ProServe Shared Delivery Team
(SDT). In this role, you will serve as a technical leader and strategic advisor
to AWS enterprise customers, partners, and internal AWS teams on transformative
AI/ML projects. You will leverage your deep technical expertise to architect and
implement innovative machine learning and generative AI solutions that drive
significant business outcomes.

As a Principal Data Scientist, you will lead complex, high-impact AI/ML
initiatives across multiple customer engagements. You will collaborate with
Director and C-level executives to translate business challenges into technical
solutions. You will drive innovation through thought leadership, establish
technical standards, and develop reusable solution frameworks that accelerate
customer adoption of AWS AI/ML services. Your work will directly influence the
strategic direction of AWS Professional Services AI/ML offerings and delivery
approaches.

Your extensive experience in designing and implementing sophisticated AI/ML
solutions will enable you to tackle the most challenging customer problems. You
will provide technical mentorship to other data scientists, establish best
practices, and represent AWS as a subject matter expert in customer-facing
engagements. You will build trusted advisor relationships with customers and
partners, helping them achieve their business outcomes through innovative
applications of AWS AI/ML services.

The AWS Professional Services organization is a global team of experts that help
customers realize their desired business outcomes when using the AWS Cloud. We
work together with customer teams and the AWS Partner Network (APN) to execute
enterprise cloud computing initiatives. Our team provides a collection of
offerings which help customers achieve specific outcomes related to enterprise
cloud adoption. We also deliver focused guidance through our global specialty
practices, which cover a variety of solutions, technologies, and industries.

Requirements

• Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
• Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
• 11+ years of building machine learning models or developing algorithms for business application experience
• Deep expertise in Python and relevant ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.)
• Current, active US Government Security Clearance of Top Secret or above

Nice To Haves

• PhD in computer science, machine learning, engineering, or related fields, or MS degree
• AWS Professional level certification
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience with vLLM, SGLang, TensorRT or similar platforms in production environments
• 3+ years of IT and/or Management Consulting experience
• Demonstrated thought leadership through publications, patents, or conference presentations

Responsibilities

• Architecting and implementing complex, enterprise-scale AI/ML solutions that solve critical customer business challenges
• Providing technical leadership across multiple customer engagements, establishing best practices and driving innovation
• Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to design and deploy AI/ML solutions
• Developing reusable solution frameworks, reference architectures, and technical assets that accelerate customer adoption of AWS AI/ML services
• Representing AWS as a subject matter expert in customer-facing engagements, including executive briefings and technical workshops
• Identifying and driving new business opportunities through technical innovation and thought leadership
• Mentoring junior data scientists and contributing to the growth of AI/ML capabilities within AWS Professional Services

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal