Data Scientist, Amazon Transportation Services

Herndon, Virginia, USA

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Posted 1 month ago

Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for state-of-the-art robotics, transportation and fulfillment systems? If so, then this is the job for you.

The Amazon Transportation Services team is responsible for developing an in-depth understanding of our current network and designing our future networks. We are looking for a motivated and experienced Data Science Lead with outstanding leadership skills, proven ability to develop, automate, and manage analytical models of our systems. The successful candidate will have strong modeling skills and is comfortable owning their own data and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.

A qualified candidate must have demonstrated ability to manage large-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded. The ideal candidate will have experience collaborating across organizational boundaries, applying statistical methods to data, developing optimization and machine learning models.

Want to learn more about working with Amazon Transportation Services? Check out this video!


Basic Qualifications

· Bachelor's degree in Engineering, Math, Statistics, Finance, Computer Science, or related field
· 2+ years of quantitative experience in Logistics/Supply Chain, Transportation, Engineering or related Businesses.
· 6+ years of experience with statistical tools and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting (SQL, MySQL)
· 2+ years of experience with optimization models, preferably building transportation networks.
· Experience using one or more programming languages (e.g. Python)
· Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
· Experience mentoring junior data scientists, providing guideline and reviewing scientific artifacts

Preferred Qualifications

· M.S. or Ph.D. in a quantitative field
· Experience in advanced machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)
· Experience using AWS tools such as SageMaker, S3, Lambda and Dynamo DB.
· Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
· Experience in communicating technically, at a level appropriate for the audience.

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

Job tags: AWS Big Data Deep Learning Engineering Finance Hadoop Machine Learning MySQL Python Robotics SageMaker Spark SQL
Job region(s): North America
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