Sr Data Scientist, WWSO Bedrock; AWS
Listed on 2026-07-21
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Job : | Amazon Web Services, Inc.
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 #One Team.
- Customer Advisor – Implement, and deploy state-of-the-art machine learning algorithms under Gen AI. Build prototypes, troubleshoot customer issues, and explore new solutions. Interact closely with customers and the academic community.
- Thought Leadership – Evangelize AWS features relating to Responsible AI and share best practices through forums such as AWS blogs, white-papers, reference architectures and public speaking events such as AWS Summit, AWS re:
Invent, etc. - Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and provide guidance on their customer engagements.
- Develop and support an AWS internal community of ML related subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures.
- 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, etc.)
- 4+ years of experience as a data scientist
- Experience with statistical models such as multinomial logistic regression
- 5+ years of management of technical, enterprise customer-facing resources or equivalent experience
- 7+ years of design/implementation/consulting experience of distributed applications
- 5+ years of hands‑on experience with AI/ML or related technology domain
- 3+ years of hands‑on experience with Responsible AI
- 2+ years of data visualization using AWS Quick Sight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience with presentations and speaking with executives, IT, management, and developers
- BS degree in computer science or equivalent, or 4+ years of technical work experience
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises
- Track record of thought leadership and innovation around Responsible AI
Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities…
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