Our mission: To be Earth's most customer-centric company.
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars’ worth of inventory, in one of the world’s most advanced supply chains, and at massive scale.
Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot
In the center of SCOT is our Simulation and Experimentation (SimEx) team. We own one of the largest supply chain simulation systems in the world to predict inventory flows for the millions of items available on Amazon.com (http://amazon.com/) worldwide, and large scale in-production AB testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assigning to the best warehouse to fulfill customer demand to optimize long term free cash flow for Amazon. Our system lives at the heart of these algorithms, keeping up with and driving the rapid pace of optimization improvements. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring, and we are especially looking for Business Intelligence Engineers (BIE).
What you’ll do:
As a Business Intelligence Engineer in SimEx, you will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As an BIE in SCOT’s Simulation and Experimentation (SimEx) team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers, to solve highly complex supply chain challenges.
Finally, here are some more reasons you might find this opportunity exciting:
Being part of a team that is at the heart of the most sophisticated supply chain and decision making system on the planet.
Working at the intersection of analytics, science, and engineering to impact Amazon user experience (by helping supply chain teams run experiments that allow for speed and same day availability for example), saving hundreds of millions of dollars using cutting edge science and technology on the way.
Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!).
Being part of a team with a high emphasis on a positive work culture of collaboration.
* Being part of a fast growing team with many growth opportunities.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, Business or related technical field, or equivalent work experience.
• 2+ years of relevant experience in Business intelligence or business analytics.
• 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
Graduate degree (MS or equivalent) in Mathematics, Statistics, Operations Research, Finance, Business or a related quantitative field
• Understanding of Amazon technologies like DynamoDB, AWS, S3, EMR, ECS
• • Understanding of No-Sql and RDBMS database technologies
• Experience with an AB testing framework
• Experience with MapReduce concepts and Hadoop
• Experience with data mining, databases, and massively parallel systems
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 https://www.amazon.jobs/en/disability/us.