Sr Data Scientist, WWSO Bedrock
About The Position
This role is within the Generative AI Worldwide Specialist team, which guides AWS customers on building enterprise-grade GenAI systems. The position will support the development of techniques, solutions, and architectural blueprints for customers to build their own enterprise-wide Generative AI and Agentic systems responsibly. This includes balancing access to GenAI and innovation with best practices around trustworthy AI, cost efficiency, and security. The role will specifically focus on developing best practices for Responsible AI, covering topics such as guardrails, veracity, model evaluations, automated reasoning, fairness, and explainability. The individual will partner with others on the team to develop comprehensive guidance for AWS GenAI customers using Amazon Bedrock. Deliverables include helping customers solve complex problems with data science, contributing to joint technical guidance, architectural blueprints/whitepapers, providing feedback to AWS Bedrock science teams, and engaging in thought leadership through public writing and speaking. The role has a global remit.
Requirements
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- 7+ years 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
Nice To Haves
- 2+ years of data visualization using AWS QuickSight, 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.
Responsibilities
- 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.
- 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.
- Partner with SAs, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and provide guidance on 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.
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)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
