Amazon Web Services, Inc.
Technology
Sr.AppliedScientist–AIVelocityTeam,AppliedAIAccelerationSolutionsArchitecture
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“Sr. Applied Scientist – AI Velocity Team, Applied AI Acceleration Solutions Architecture at Amazon Web Services, Inc.. Skills: Data science, Machine learning, AI, Statistical modeling. Design statistical models. Develop statistical models”
What You'll Achieve.
Accelerate production deployments; Drive measurable impact; Accelerate time-to-value; Demonstrate measurable business value; Quantify business outcomes; Demonstrate measurable value; Accelerate customer engagements; Accelerate solution delivery; Reduce cost per serviced contact; Improve customer experience metrics
Industry & Context.
Identify business problems; Formulate hypotheses; Isolate root cause
What They're Looking For.
Must Have
5+ years quantitative data science, 3+ years machine learning, 3+ years statistical modeling, 3+ years data mining, 3+ years analytics techniques, Proficiency in Python, Experience with ML frameworks, Track record of end-to-end data science solutions, Statistics degree, Computer science degree, Mathematics degree, Related quantitative field degree, Experience in A/B testing
Nice to Have
PhD preferred, Experience with AI/ML technologies, Experience building MLOps workflows, Experience with real-time inference systems, Publications at peer-reviewed conferences, Experience with contact center data, Experience with customer experience data, Experience with telecommunications data, Proven ability to influence without authority, Communicate effectively across organizational boundaries, PhD in quantitative field, Experience with AWS platforms, Experience working directly in customer implementations, Experience building financial models, Experience in Excel
What You'll Do.
Design statistical models
Develop statistical models
Deploy statistical models
Design machine learning pipelines
Develop machine learning pipelines
Deploy machine learning pipelines
Design A/B experiments
Execute A/B experiments
Design causal inference analyses
Execute causal inference analyses
Build business case tools
Develop forecasting systems
Apply generative AI techniques
Extract insights from data
Ensure operational excellence
Enable AI Velocity teams
Build reusable analytical assets
Build diagnostic notebooks
Build scalable tooling
Build benchmarking studies
Build optimization frameworks
Create mechanisms to measure model performance
Create mechanisms to measure model adoption
Create mechanisms to measure business impact
Communicate technical trade-offs
Operate as shared resource
Provide data science expertise
How You'll Work.
Team & Collaboration
AI Velocity Teams; Applied AI Solutions Architects; Customer Success Specialists; Applied scientists; Software engineers; Product managers; Technical stakeholders; Business stakeholders; Field teams; Senior leadership; Customer executives; Cross-organizational boundaries
Communication Scope
Written documents; Presentations
Full Job Description
Are you passionate about using data science to transform how businesses understand and optimize customer interactions at scale? Do you want to build the models and analytics that power the next generation of AI-driven customer experiences while working directly with customers to accelerate production deployments? As a Senior Applied Scientist within the Applied AI Solutions team, you will collaborate across AI Velocity Teams (AIVT), enabling multiple customer engagements simultaneously. You will lead data science initiatives that span the full lifecycle — from identifying high-value business problems and formulating hypotheses, through rigorous experimentation and modeling, to deploying production-grade solutions that serve thousands of customers. You will bring deep expertise in statistical inference, machine learning, and experimental design to drive measurable impact across Amazon Connect's analytics products and broader Connect AI initiatives. A critical dimension of this role is working directly with customers during production pilots to accelerate time-to-value. You will partner with Applied AI Solutions Architects and Customer Success Specialists to design, build, and deploy AI solutions in customer environments during fixed deployment cycles. You will enable field teams with data-driven insights, reusable analytical assets, ROI tools, and scalable tooling that accelerate customer engagements and solution delivery. Your work will directly influence customer decisions to adopt Connect Customer AI by quantifying business outcomes and demonstrating measurable value. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with applied scientists, software engineers, product managers, technical, and business stakeholders. You will be expected to identify the right methodology for each problem — whether that's a classical statistical approach, a modern deep learning technique, or a novel combination — and com
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