Applied Science Manager, Seller Growth Science (SGS)

Join us in the evolution of Amazons 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 teams 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 teams 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.


- 3 years of scientists or machine learning engineers management experience
- 3 years of building machine learning models or developing algorithms for business application experience
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Knowledge of ML NLP Information Retrieval and Analytics
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience communicating with users other technical teams and management to collect requirements describe software product features and technical designs

- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.