Amazon is currently accepting applications for the 2023-2024 AMAZON Data Science Internship Program. They are seeking highly motivated data scientists who possess exceptional leadership abilities and possess the skills to develop, automate, and execute analytical models of systems.
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The internship opportunity at Amazon is extremely competitive and is exclusively open to candidates who meet the eligibility criteria. To be considered, applicants must be currently enrolled in a Master’s or Ph.D. program in fields such as mathematics, statistics, computer science, or any other related scientific discipline.
AMAZON Data Science Internship Program Summary:
- Company/Organization: Amazon
- Program Type: Internship for Graduate Students
- Program Location: Munich, Germany
- Program Duration: Not specified
- Number of Available Slots: Not specified
- Basic Qualifications: Open to M.Sc or Ph.D. Students
- Eligibility: Students of all nationalities are welcome to apply for this opportunity.
What to Expect:
At Amazon, a global leader in e-commerce and technology, they are dedicated to upholding principles of equal opportunities in the workplace. They firmly believe that cultivating a diverse workforce not only fosters innovation but is also paramount for achieving sustainable success in today’s competitive landscape. When it comes to recruitment, the company places a high value on both your experience and skill set, striving to create an inclusive environment where talent is recognized and nurtured.
In their search for exceptional candidates, Amazon is particularly keen on individuals who possess the following qualifications:
Proficiency in machine-learning methodologies, encompassing both supervised learning, where the model is trained on labeled data, and unsupervised learning, where the model works on unlabeled data to extract patterns and insights. Additionally, a deep understanding of these methodologies is crucial for successful implementation and interpretation of results.
Substantial experience with clustered data processing technologies is necessary, including industry-standard tools like Hadoop, Spark, MapReduce, and Hive. A strong grasp of these technologies enables efficient data handling and analysis, contributing to informed decision-making and impactful insights.
Moreover, possessing strong communication skills is vital, allowing for the effective conveyance of technical information to diverse audiences. The ability to tailor complex ideas into clear, understandable messages ensures that insights and findings are communicated efficiently and comprehensively.
AMAZON Data Science Internship Program Eligibility Criteria
Applicants for the AMAZON Data Science Internship Program are expected to meet the following criteria:
- Enrolled in a Master’s or Ph.D. program in mathematics, statistics, computer science, or a related science field.
- Seeking individuals with a keen interest in advanced quantitative analysis.
- Experience in regression modeling, forecasting, and time series analysis is highly valued.
- Proficiency in data scripting languages such as SQL, Python, and R, or statistical/mathematical software like R, SAS, or Matlab is essential.
- Familiarity with programming languages such as Python, Java, C++, C, or similar is a plus.
- Candidates should have hands-on experience working with big data, including processing, filtering, and presenting large datasets ranging from 100K to millions of rows.
- Demonstrated ability to manage medium-scale modeling projects, including identifying requirements and developing statistically grounded methodology and tools.
- Strong collaboration skills with the ability to work effectively across organizational boundaries are key attributes we are looking for in potential candidates.
Application Procedure:
Prospective candidates who are enthusiastic about and meet the qualifications for the prestigious AMAZON Data Science Internship Program are highly encouraged to proceed to the dedicated online application portal. Within the user-friendly platform, applicants will be prompted to enter their personal details, educational background, relevant work experience, and any additional information that may bolster their candidacy. Ensuring that all the requisite documents, such as resumes and cover letters, are uploaded accurately is crucial for a comprehensive application. By meticulously following the provided application guidelines and double-checking the submission for completeness, candidates can effectively present their credentials and eagerness to partake in this esteemed program.