Amazon Web Services, Inc.
Technology
Sr.AppliedScientist–AIVelocityTeam,AppliedAIAccelerationSolutionsArchitecture
“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
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