Over 2 million Sellers in 10 countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers’ needs, we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) Inbound data science team partners with product team to optimize inbound by influencing right tradeoffs among cost, speed and network capacity utilization.

FBA Inbound data science team is looking for an Applied Scientist to build and productionize cutting edge and solutions, leveraging 100s of Terabytes of big data, to influence optimal placement of billions of units flowing through the global network. These solutions operate at millisecond latencies at Amazon scale, to optimize placement decisions across dozens of global fulfilment centers.

Your responsibilities include:
· Collaborate with scientists, engineers and product managers to identify the highest-impact science projects to solve customer problems.
· Design, implement, test, deploy and maintain innovative science solutions to accelerate the business impact.
· Evaluate the proposed solutions via offline simulations as well as online A/B tests in production.
· Publish and present your work at internal and external scientific venues in the fields of ML//Recommender systems.
· Work with peer scientists to review the science proposals and provide feedback.

Your benefits include:
· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers.
· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems.
· Excellent opportunities, and ample support, for career growth, development, and mentorship.
· Competitive compensation, including relocation support.
To help describe some of our challenges, we have created a short video about at Amazon - http://bit.ly/amazon-scot


Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age