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Description

POE (Perfect Order Experience) AI is on a mission to build scientific, economic, and analytical solutions that ensure a perfect order experience for customers while empowering sellers to excel and delight. As a Sr. Data Science Manager, you will play a crucial role in driving this vision.

In this role, you will be at the forefront of building scientific and analytical solutions that directly impact the customer experience and seller success. You will dive into complex business challenges and deliver high-impact, data-driven insights to drive strategic decisions. You will collaborate with cross-functional teams, blending econometrics, data engineering, and AI/ML expertise. You will shape the evolution of POE AI's data infrastructure and fuel the development of LLM and agentic workflow.

If you're a seasoned data science leader passionate about using science and analytics to solve real-world problems, we'd love to hear from you. Join us in our mission to redefine the perfect order experience!

Key job responsibilities

Lead a cross-functional team of scientists and engineers to:

Spearhead initiatives transforming data infrastructure to power advanced analytics, generative AI solutions, and foundation model development.

Partner with business teams to deliver econometric analyses and scientific solutions that optimize decision-making processes.

Champion the generative AI transformation by developing AI tools that strike the right balance between automation and human insights.

Basic Qualifications

Master's degree or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or related field.

Proven experience leading cross-functional technical teams.

Strong track record in developing and implementing AI/ML solutions at scale.

Expertise in modern data infrastructure and analytics platforms.

Preferred Qualifications

Demonstrated experience with generative AI and foundation models

Strong background in statistical analysis and econometrics

Expertise in Data infrastructure and big data technologies

Experience with ML Ops and production deployment of AI systems

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.