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DESCRIPTION

Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.

As the Applied Science Manager, you will own and drive the science team's charter, working backwards from seller problems and product strategy to develop a long-term science vision and plan. You will guide your team in creating and deploying sophisticated algorithms and models that drive measurable improvements in seller experience and business metrics. This includes enhancing our analytics behind Seller Central tools, driving New Selection Success and helping Sellers easily understand what Amazon has to offer for growing their business.

A successful candidate is also passionate about driving innovation and shaping the future of Seller Central, with the ability to operate like a startup within Amazon - moving quickly, experimenting rapidly, and adapting to changing business needs. You should be comfortable spearheading the development of innovative ML, Deep Learning, Reinforcement Learning and generative AI-driven solutions, and be a trusted partner who can energize our cross-functional team of scientists, engineers, product and business leaders to persevere through challenges and achieve impactful results on behalf of our selling partners.

Key job responsibilities
Lead Science Vision and Roadmap – Own and drive team charter, working backwards from customer problems and product strategy, to develop a long-term science vision and plan, team tenets, and contribute to organizational working backwards documents (e.g. press release, FAQs).

Execution of Science Roadmap – Develop mechanisms that enable team to collaborate on research, deliver independently, and integrate with E2E process and upstream and downstream technology and business dependencies. Insist on a high bar for deliveries with monitoring and audit mechanisms for your team's solutions.

Lead Science Brand – Work with Product and Tech leaders to expose and accelerate science innovation internally and to other organizations.

Hire, develop and nurture scientists - Grow and develop scientists, both direct reports and others in organization, in not just hard science and technical skills and competencies, but also leadership principles and collaborations with other scientists and project team members to grow their ability to increase scope, impact and influence at Amazon.