Amazon Development Center U.S., Inc.
Applied Science, Cloud Computing
SeniorAppliedScientist,AppliedAISolutionsGTM
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied Scientist, Applied AI Solutions GTM at Amazon Development Center U.S., Inc.. Skills: Applied AI, Machine Learning, Data Science, Go-to-market strategy. Design statistical models. Develop statistical models”
What You'll Achieve.
Drive product improvements; Drive business decisions; Drive customer outcomes; Demonstrate measurable business value; Measure impact of new features; Measure impact of model changes; Quantify value proposition; Accelerate customer engagements; Measure model performance; Measure model adoption; Measure business impact; Translate data patterns into GTM motions; Translate market signals into GTM motions
Industry & Context.
Identify methodology
What They're Looking For.
Must Have
Master's degree and 6+ years of applied research experience, 5+ years of building machine learning models, 5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in statistical modeling, 5+ years of experience in quantitative analysis, 5+ years of experience in data engineering, 5+ years of experience in business intelligence, 5+ years of experience in analytics engineering, 5+ years of experience in AI solutions, 5+ years of experience in GTM strategy, 5+ years of experience in predictive models, 5+ years of experience in reusable tooling, 5+ years of experience in customer engagement, 5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in business strategy, 5+ years of experience in quantifying value, 5+ years of experience in scalable analytical assets, 5+ years of experience in AI solutions, 5+ years of experience in enterprise customers, 5+ years of experience in scientific direction, 5+ years of experience in technical audiences, 5+ years of experience in non-technical audiences, 5+ years of experience in data science approaches, 5+ years of experience in intelligent analytics, 5+ years of experience in customer-facing impact, 5+ years of experience in complex model outputs, 5+ years of experience in business decisions, 5+ years of experience in statistical models, 5+ years of experience in machine learning pipelines, 5+ years of experience in product improvements, 5+ years of experience in business decisions, 5+ years of experience in customer outcomes, 5+ years of experience in production pilots, 5+ years of experience in AI solutions, 5+ years of experience in measurable business value, 5+ years of experience in A/B experiments, 5+ years of experience in causal inference analyses, 5+ years of experience in new features, 5+ years of experience in model changes, 5+ years of experience in ROI models, 5+ years of experience in business case tools, 5+ years of experience in forecasting systems, 5+ years of experience in demand prediction, 5+ years of experience in capacity planning, 5+ years of experience in workforce optimization, 5+ years of experience in value quantification, 5+ years of experience in NLP, 5+ years of experience in generative AI techniques, 5+ years of experience in structured data, 5+ years of experience in unstructured data, 5+ years of experience in productionizing models, 5+ years of experience in reliability, 5+ years of experience in monitoring, 5+ years of experience in operational excellence, 5+ years of experience in customer analytics capabilities, 5+ years of experience in segmentation, 5+ years of experience in usage trend analysis, 5+ years of experience in propensity modeling, 5+ years of experience in foundational datasets, 5+ years of experience in service usage, 5+ years of experience in sales data, 5+ years of experience in self-service analytics platforms, 5+ years of experience in automated insight delivery, 5+ years of experience in strategic intelligence, 5+ years of experience in reusable analytical assets, 5+ years of experience in diagnostic notebooks, 5+ years of experience in benchmarking studies, 5+ years of experience in scalable tooling, 5+ years of experience in customer engagements, 5+ years of experience in success metrics, 5+ years of experience in model performance, 5+ years of experience in adoption, 5+ years of experience in business impact, 5+ years of experience in customer cohorts, 5+ years of experience in strategic frameworks, 5+ years of experience in GTM recommendations, 5+ years of experience in data patterns, 5+ years of experience in market signals, 5+ years of experience in actionable go-to-market motions, 5+ years of experience in investment priorities, 5+ years of experience in findings, 5+ years of experience in technical trade-offs, 5+ years of experience in written documents, 5+ years of experience in presentations, 5+ years of experience in shared resource, 5+ years of experience in 2-3 teams simultaneously
Nice to Have
PhD, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, dbt Certified certification
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
Build forecasting systems
Apply generative AI techniques
Extract insights from data
Build customer analytics capabilities
Build propensity models
Combine service usage with sales data
Create self-service analytics platforms
Create automated insight delivery mechanisms
Enable leadership to pull strategic intelligence
Enable field teams with reusable analytical assets
Create diagnostic notebooks
Create benchmarking studies
Create scalable tooling
Accelerate customer engagements
Create mechanisms to measure model performance
Measure model adoption
Measure business impact
Define strategic frameworks
Define GTM recommendations
Translate data patterns into motions
Translate market signals into motions
Communicate findings to senior leadership
Communicate technical trade-offs to senior leadership
Communicate findings to customer executives
Communicate technical trade-offs to customer executives
How You'll Work.
Team & Collaboration
Software engineers; Product managers; Business stakeholders; Field teams; Customer engagement teams; AAIS product teams; AAIS science teams; Worldwide field organization
Communication Scope
Written documents; Presentations
Full Job Description
Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning technique, or a novel combination, and communicate your findings clearly to both technical and non-technical audiences. This role spans Connect Customer initiatives and across the Applied AI solution portfolio, offering the opportunity to pioneer data science approaches that scale intelligent analytics worldwide. If you thrive at the in
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