The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a dynamic, personalized experience to sellers running real businesses, large and small.
Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).
Key job responsibilities
* Produce written recommendations and insights for key stakeholders that will help shape effective strategies.
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
* Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.
* Develop programs, methodologies, and reports for analyzing and presenting data.
* Supporting cross-functional teams on day-to-day execution of projects and process improvements.
* Effectively collaborate in a fast-paced environment with multiple teams in a large organization.
About the team
Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders- Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling
- Experience partnering with executive-level leaders to identifying and solving business issues
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.
