AMAZON Data Science Internship Program 2024
AMAZON Data Science Internship Program is inviting motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of systems. This Amazon internship opportunity is highly competitive and is available to eligible candidates currently enrolled in Master’s or Ph.D. degree in math, statistics, computer science, or related science field.
| Type: | Internships |
| For: | Graduates in All countries |
| Mode: | On-site |
| Benefits: | See Details ⤵ |
| Deadline: | Nil |
| Host: | |
| Learn: | Take certified course ↗️ |
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- 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.
Eligible Criteria for AMAZON Data Science Internship Program
Applicants for AMAZON Data Science Internship Program are expected to meet the following criteria for this opportunity:
- 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 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.
- 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.
How to Apply for AMAZON Data Science Internship Program
Interested and qualified candidates for the AMAZON Data Science Internship Program can proceed to the online application portal to submit their application.
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