We are looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems. You will have strong modeling skills and are comfortable owning 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 resolve root cause of systems errors and changes, and present findings to business partners to drive improvements.
Applicants have a demonstrated ability to manage medium-scale modeling projects, identify requirements, and build methodology and tools that are statistically grounded. You will have experience collaborating across organizational boundaries.

BASIC QUALIFICATIONS

· Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· Enrolled in Master’s or Ph.D. degree in math, statistics, computer science, or related science field.
· Experience with regression modeling, forecasting, and time series analysis.
· Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.

PREFERRED QUALIFICATIONS

· Experience in machine-learning methodologies (e.g., supervised and unsupervised learning, deep learning, etc.) · Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive). · Experience in communicating technically, at a level appropriate for the audience.
This is not a remote internship opportunity.

Equal Opportunities:
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Applicants who apply for this job will allow Amazon to process your application in a centralized hiring system that considers you for other similar openings as well

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