← Back to all jobs
Principal Data Scientist, WWPS ProServe
AMAZON-HQ2 • Arlington, Virginia, United States | Herndon, Virginia, United States • onsite
FULL_TIME
Active
Apply Now →
Job Details
Company
amazon hq2
Location
Arlington, Virginia, United States | Herndon, Virginia, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
January 1, 1970
Description
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.
Key job 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 Basic Qualifications: - 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
Preferred Qualifications: - 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
Apply on Company Website →
You will be redirected to the company's careers page
Similar Jobs at AMAZON-HQ2
Senior Mechanical Product Engineer, Data Center Eng, Mechanical Products and Services
Herndon, Virginia, United States | Seattle, Washington, United States • onsite
Technical Program Manager (Labor Prioritization), Global Operations Support Engineering
Herndon, Virginia, United States • onsite
Facility Operations Center (FOC) Engineer
Herndon, Virginia, United States • onsite