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Job Information
Amazon Business Intel Engineer III, IPC Simulation Analytics in Bellevue, Washington
Description
Job Description
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 Global Supply Chain Optimization organization is for you.
Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot
In the center of SCOT is our IPC Sim 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 worldwide. 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 the rapid pace of optimization improvements and simulating how they interact with each other. We simulate what these systems will do for months into the future, predicting inventory flows and key operational and financial metrics across the network. This experimentation platform is critical in understanding labor needs, managing our network capacity, and allowing continued optimizations to the many algorithms we simulate. Imagine enabling Amazon's supply chain systems to make data driven decisions based on simulations of trillions of inventory events per day.
We are hiring, and we are especially looking for Business Intelligence Engineers (BIE).
What you'll do:
As a Business Intelligence Engineer in IPC Sim, you will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and 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, econometrics, and business analysis.
Basic Qualifications
10+ years of professional or military experience
5+ years of SQL experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Master's degree in statistics, data science, or an equivalent quantitative field
Knowledge of data warehousing and data modeling
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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