Senior Applied Scientist, Applied AI Solutions GTM
About the role
AWS Applied AI Solutions (AAIS) is dedicated to making AI accessible to enterprises. We create and deploy AI solutions that yield tangible business benefits, integrating applied scientists, AI architects, business development professionals, and GTM specialists to bridge the gap between experimentation and implementation.
Responsibilities
Design, develop, and deploy statistical models and machine learning pipelines to enhance product performance, inform business decisions, and improve customer outcomes.
Collaborate with customers during production pilots to design and implement AI solutions that showcase measurable business value.
Execute A/B tests and causal inference analyses to assess the impact of new features and model updates.
Create ROI models, business case tools, and forecasting systems for demand prediction, workforce optimization, and value quantification.
Utilize NLP and generative AI techniques to extract insights from structured and unstructured data at scale, and work with software engineers to ensure models are reliable, monitored, and operationally efficient.
Develop customer analytics capabilities, including segmentation, usage trend analysis, propensity modeling, and integrated datasets combining service usage with sales data.
Build and maintain self-service analytics platforms and automated insight delivery mechanisms to facilitate strategic intelligence for leadership.
Support field teams with reusable analytical assets, diagnostic notebooks, benchmarking studies, and scalable tooling to expedite customer engagements.
Establish and monitor success metrics, measuring model performance, adoption, and business impact across different customer segments.
Formulate strategic frameworks and GTM recommendations by segment, translating data insights into actionable go-to-market strategies and investment priorities.
Communicate findings and technical trade-offs to senior leadership and customer executives through detailed reports and presentations.
Qualifications
PhD or Master's degree with 6+ years of applied research experience
5+ years of building machine learning models for business applications
Experience with neural deep learning methods and machine learning
Experience managing analytics, data science, or technology teams, focusing on products or insights
Experience with diverse or varying data sets, including data compilation for management consumption
Experience with customer segmentation, profiling, and targeting
Benefits
The base salary range for this position is $167,100.00 - $226,100.00 USD annually. Final compensation is determined based on experience, qualifications, and location. Additional benefits include:
- Comprehensive health insurance
- 401(k) matching
- Paid time off
- Parental leave
Learn more about our benefits at https://amazon.jobs/en/benefits.