Senior Applied Scientist, Applied AI Solutions GTM

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 intersection of rigorous science and customer-facing impact and are energized by translating complex model outputs into business decisions we want to talk to you.

Key job responsibilities
Design develop and deploy statistical models and machine learning pipelines to drive product improvements business decisions and customer outcomes

Work directly with customers during production pilots to build and deploy AI solutions that demonstrate measurable business value

Design and execute A/B experiments and causal inference analyses to measure the impact of new features and model changes

Build ROI models business case tools and forecasting systems for demand prediction capacity planning workforce optimization and value quantification

Apply NLP and generative AI techniques to extract insights from structured and unstructured data at scale and partner with software engineers to productionize models with reliability monitoring and operational excellence

Build and own customer analytics capabilities including segmentation (by size tier AI adoption product penetration entitlement) usage trend analysis propensity modeling and foundational datasets combining service usage with sales data

Create self-service analytics platforms and automated insight delivery mechanisms that enable leadership to pull strategic intelligence on demand

Enable field teams with reusable analytical assets diagnostic notebooks benchmarking studies and scalable tooling that accelerate customer engagements

Own success metrics and create mechanisms to measure model performance adoption and business impact across customer cohorts

Define strategic frameworks and GTM recommendations by segment translating data patterns and market signals into actionable go-to-market motions and investment priorities

Communicate findings and technical trade-offs to senior leadership and customer executives through written documents (6-pagers science reviews) and presentations operating as a shared resource across 2-3 teams simultaneously

About the team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- PhD or Masters degree and 6 years of applied research experience
- 5 years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Experience managing analytics data science or technology teams with a product or insight focus
- Experience working with diverse or differing data sets including creating and compiling data into a final distribution for management consumption
- Experience with customer segmentation profiling and targeting

- PhD
- Track record of delivering end-to-end data science solutions from problem definition through production deployment

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

Los Angeles County applicants: 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 option for 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. Learn more about our benefits at TX Dallas - 167100.00 - 226100.00 USD annually