Data Scientist, Selling Partner Development Science Services, Inc.
 Seattle, WA


Job summary

The Selling Partner Development Science organization owns the charter to drive WW seller growth on Amazon. Our products are strategically important to the long term growth of Amazon’s consumer businesses, and our organization's initiatives are highly visible to Amazon's executive leadership. We will accomplish the ambitious growth goal through building innovative and scalable technical products and platform.

We are looking for a customer obsessed Data Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the e-commerce domain. Does the challenge of advancing one of the world’s most scalable, reliable, and secure e-commerce platforms that drives billions of dollars in revenue excite you? Have you ever wanted to work on machine learning problems that will make a lasting impact, solving key problems that impact the experience of millions of Amazon customers? If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.

As a member of our team you will develop and evaluate machine learning models using large data-sets and cloud services to drive seller growth. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our technology roadmap. You will need to be entrepreneurial, able to deal with ambiguity and work in a highly collaborative environment.

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Key job responsibilities

Work with partner teams to understand how their services help Sellers on Amazon

Develop machine learning models to calculate the impacts of the services on the sales of Amazon 3rd party Sellers

Provide recommendations to Sellers on which services give the best return on their investment for their products

Report out results to stakeholders and integrate results into the overall software pipeline

Basic Qualifications

· Bachelor's Degree

· 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

· Proficiency in model development, model validation and model implementation for large-scale applications

· Ability to convey mathematical results to non-science stakeholders

· Strength in clarifying and formalizing complex problems

Preffered Qualifications

· M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field

· 2+ years of hands-on experience in predictive modeling, analysis, and Machine learning

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit