Data Scientist Amazon
Seattle, WA

Job Description

Are you passionate to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions to help Selling Partners and Customers on Amazon? The North American Consumer Recruitment and Development team is looking for an Data Scientist to lead us on our mission to recruit all the brands in the world to sell on Amazon, while empowering them to grow their business and provide a great customer experience. Selling on Amazon is one of the fastest growing businesses at Amazon.com and empowers millions of entrepreneurs worldwide. To drive this unprecedented scale, our entrepreneurial team of sales reps, account managers, product managers, and software engineers continuously invent new ways to scale and raise the bar for our selling partners through automation.

As an Data scientist on our talented team of scientists, you will have opportunities to create significant impact on our systems, our business and most importantly, our customers as we take on challenges that can revolutionize the e-commerce industry. You will expose and measure current Selling Partner Recruitment and Development performance. You will identify specific and actionable opportunities to solve existing business problems, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced quantitative techniques and data visualization for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.

Major responsibilities

* Use statistical and machine learning techniques to create scalable recommendation systems
* Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
* Design, development and evaluation of highly innovative models for predictive learning
* Work closely with software engineering teams to drive real-time model implementations and new feature creations
* Work closely with operations staff to optimize various business operations,
* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation