Job Location: Remote
- M.S. or equivalent in Statistics, Mathematics, Operations Research, Engineering, Computer Science, or related analytical disciplines.
- Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised/unsupervised learning, in-depth knowledge of tree-based ensemble models, etc.
- Excellent in using statistical, visualization, and machine-learning tools and commercial packages
- Proficiency in using SQL as applied to big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies and data pipelines
- Excellent one or more scripting languages (e.g., Python, R, Java, C++, etc.)
- Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
Job summary
Amazon’s Quantitative Business Intelligence Tools (QuBIT) team is looking for motivated individuals with strong analytical and science skills to evolve one of the most complex supply-chain systems in the world.
Amazon’s supply-chain comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements truly innovative. This job offers is a terrific opportunity to analyze Amazon data and understand, model, optimize, and reshape one of the world’s most supply-chains.
Your main focus will be on developing predictive models for critical planning entities; analyzing large amount of data to identify and evaluate opportunities to improve customer experience, network speed, cost and efficiency; and presenting the results to non-technical audience with the aid of visualization tools. You will leverage optimization approaches to evaluate trade-offs between potentially competing business objectives and improve decision-making. You will identify effective metrics to quantify the improvements resulting from the application of your developed tools.
The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, technical skills for leveraging analytical tools to solve large scale problems, aptitude to remain abreast with data science related technologies and excitement to take iterative approaches to tackle long-term challenges. The successful candidate will have good communication skills and ability to speak at a level appropriate for the audience; will collaborate effectively with fellow scientists, data/software engineers, and product/program managers; and will deliver business value in a close partnership with many stakeholders from operations, finance and software-engineering.
Key job responsibilities
In this role, you’ll be expected to work on well defined business problems related to Amazon Fulfillment Center Operations (labor planning, capacity planning, etc) and use the appropriate data science techniques to design and implement a workable solution for them. You’ll also work alongside the product/program managers to define the success criteria for the solution and set up the appropriate tracking/reporting mechanisms.
About the team
The science team within QuBIT comprises 6 data scientists coming from a diverse background! Our mission is to continuously evolve our operations by developing robust and well-researched science solutions. Outside of constantly adding business value through those solutions, our team keeps abreast of evolving science field by learning new concepts and algorithms dedicatedly every week, and we share the knowledge across team members through monthly learning sessions!
- Ph.D. in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines
- 2+ years of industry experience in defining and building metrics, performing business analysis, developing machine learning and optimization models on large scale data.
- Experience in leveraging analytics to drive the generation of business value in related business sectors such as Logistics and Supply Chains, Transportation, and Engineering.
- Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools
- Experience with ensemble models and with clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
- Experience with agile or scrum methodology
The base pay range for this position in Colorado is $ 119,300 – $160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
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.
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