Data Scientist I

• M.S. or equivalent in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines.
• Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, etc.
• 2 years industry experience in defining and building metrics, performing business analysis, and quantifying decisions through the utilization of data
• Excellent using statistical, simulation, visualization, and machine-learning tools and commercial packages
• Excellent with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines
• Excellent one or more programming languages (e.g. Python, Java, C++, etc.)
• Familiarity with some of the clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
• Familiarity with Logistics/Supply Chain, or related Businesses.
• Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.

Are you driven to leverage your strong quantitative analysis and skills to solve complex and large-scale challenges? This job is for you! Amazon's Quantitative Business Intelligence Tools (QuBIT) team is looking for motivated individuals with strong analytical skills to evolve one of the most complex logistics systems in the world.

Amazon’s extensive logistics system 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 magnificent challenge is a terrific opportunity to analyze Amazon data and understand, model, simulate, optimize, and reshape one of the world's most complex systems.

Your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis to identify and evaluate opportunities to improve customer experience, network speed, cost, the efficiency of capital investment, and the effective use of automation. You will identify effective metrics to quantify the improvements resulting from the application of your developed tools and you will evaluate the trade-offs between potentially competing objectives. You will balance the tradeoffs between customer experience, network speed, and cost, to measurably improve the network in a 3 to 6-month timeframe.

The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, technical skills for leveraging analytical tools to solve large scale problems, technical aptitude to remain abreast with data science related technologies, leadership in charting new analytical courses, 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, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders from operations, finance, IT, and business leadership.

• Ph.D. in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines
• 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 $ 92,700 - 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.