Senior Applied Scientist, Sales Insights Analytics and Data Science (SIADS)

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS you can requisition compute power storage and many other services gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.

The Sales Insights Analytics and Data Science (SIADS) team is looking for a Senior Applied Scientist to take a high-impact senior technical role on our Data Science team. We build the machine learning and GenAI products that help the AWS Sales organization grow. Our work spans GenAI agents that answer sales questions in natural language knowledge graphs recommendation systems synthetic controls account prioritization models and more.

As a Senior Applied Scientist you will own ambiguous high-value problems end to end from framing the question with business leaders through to a deployed model that changes how the field operates. You will set technical direction for problems that dont yet have a clear approach choose the right method rather than the familiar one and raise the bar for the science across the team. You will partner directly with customers across AWS Sales to understand the challenges they face and deliver solutions they trust and adopt.

You will do this alongside a team of talented scientists working on some of the hardest and most impactful problems at the fastest-growing cloud provider in the world. You will have significant room to decide where to focus your efforts and to shape the direction of the work.

You must be an expert in advanced quantitative and machine learning methods and equally strong at synthesizing and communicating insights to audiences of varying technical sophistication. You will influence decisions well beyond your own projects and you will help grow the scientists around you through mentorship and technical leadership.


Key job responsibilities
* Own the full lifecycle of complex science problems: problem framing data exploration method selection modeling evaluation and production deployment.

* Set technical direction on ambiguous problems and make the design decisions that others build on.

* Partner with business stakeholders across Sales to turn open-ended business questions into well-scoped science and translate results into recommendations leaders act on.

* Raise the scientific bar across the team through design reviews mentorship and hands-on guidance.

* Communicate methods trade-offs and results clearly to both technical and non-technical audiences.

* Use Python PySpark and SQL for data analysis and model development.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity inclusion) conferences inspire us to never stop embracing our uniqueness.

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 in the cloud.

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.


- PhD or Masters degree and 6 years of building machine learning models for business application experience
- Experience with SQL and Python scripting
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Experience managing and deploying ML products

- Experience working with stakeholders or experience using financial models KPIs and data analysis to inform business decisions with proven business impact (e.g. financial savings operational improvements or customer benefits)
- PhD or equivalent research experience or a Masters degree and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Depth in large language models and agentic system
- Experience mentoring or developing other scientists.

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

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 WA Seattle - 167100.00 - 226100.00 USD annually