By applying to this position, your application will be considered for all locations we hire for in the United States.
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon Web Services, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon Web Services, you’ll say it often. Join us and define tomorrow.
If this sounds exciting to you - come build the future with us!
Key job responsibilities
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.• Master’s degree or equivalent in math, statistics, computer science, or related science field with a graduation conferral date between December 2024 and September 2025 • Experience with regression modeling, prediction, forecasting, and time series analysis. • Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) • Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.). • Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data• PhD degree in math, statistics, computer science, or related science field. • 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
