Amazon Web Services, Inc.
Technology
SrDataScientist,WWSOBedrock
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Data Scientist, WWSO Bedrock at Amazon Web Services, Inc.. Skills: Generative AI, Responsible AI, Machine learning, AWS. Implement machine learning algorithms. Deploy machine learning algorithms”
Industry & Context.
Solve complex problems
What They're Looking For.
Must Have
5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Experience with statistical models, 5+ years management of technical resources, 7+ years design/implementation/consulting experience, 5+ years hands-on experience AI/ML, 3+ years hands-on experience Responsible AI
Nice to Have
2+ years data visualization experience, Experience managing data pipelines, Experience as a leader and mentor, Experience architecting cloud migrations, Experience with presentations to executives, BS degree in computer science, 4+ years technical work experience, History of successful technical consulting, Track record of thought leadership
What You'll Do.
Implement machine learning algorithms
Deploy machine learning algorithms
Troubleshoot customer issues
Explore new solutions
Interact with customers
Interact with academic community
Evangelize AWS features
Partner with Business Development
Partner with AI/ML Service teams
Develop internal community
Create field enablement materials
Integrate GenAI solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Internal community
Communication Scope
Public speaking; Writing; Speaking
Full Job Description
Are you passionate about Generative AI? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers build and deploy GenAI enabled applications using Amazon Bedrock, customize Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam The Generative AI Worldwide Specialist team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of techniques, solutions and architectural blueprints that our customers can use to build their own enterprise-wide Generative AI and Agentic systems in a responsible way, helping them balance democratization of access to GenAI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc. This role specifically will be owning development of best practices around Responsible AI covering such important topics as guardrails, v
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