Sr Data Scientist, WWSO Bedrock

Overview

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.

• Customer Advisor – Implement and deploy state‑of‑the‑art machine learning algorithms under GenAI. Build prototypes, troubleshoot customer issues, and explore new solutions while interacting 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 (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 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).
• 4+ years of data scientist experience.
• 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 experience using AWS Quick Sight, Tableau, R Shiny, etc.
• 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, CA, East Palo Alto – $ – $ USD annually
USA, NY, New York – $ – $ USD annually
USA, TX, Austin – $ – $ USD annually
USA, VA, Arlington – $ – $ USD annually
USA, WA, Seattle – $ – $ USD annually

Amazon Web Services, Inc.