
Amazon Hiring Drive 2025 – Data Scientist Intern Job Opportunity
Amazon Hiring Drive 2025: A new opportunity for individuals who are interested in the field of data sciences and analytics. The Data Scientist Intern position, located at Bangalore, Hyderabad, or Chennai, allows you to participate in cutting-edge projects to improve customer experience and make significant business decisions. Candidates should have excellent analytical skills as well as a flair for problem-solving and a determination to manage analyses that are quantitative analyses. This job requires the full-time commitment of practical experience in the development, execution, and execution of sophisticated analytical models.
Why Join This Internship?
This is an opportunity to have the chance to explore the real-world challenges of data science and work in a fast-paced, creative and challenging setting. Interns will gain hands-on experience in constructing and deploying analytical models, working with various teams, and delivering positive business outcomes. This position provides an opportunity to improve leadership qualities and apply knowledge from academics, and discover the latest technology and tools for data science. In vibrant tech hubs like Bangalore, Hyderabad, or Chennai, this internship will provide exposure to cutting-edge projects as well as the opportunity to make a contribution to the world.
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Who Should Apply?
This position is best suited to those who have an academic or practical experience in Computer Science, Engineering, Operations Research, or Process Control. People who have experience with engineering tools or optimisation disciplines will find this job especially satisfying. Individuals who excel in an analytical environment, enjoy working on complex problems and are eager to take on initiatives that are based on data will succeed in this position.
Internship Commitment
The internship is a full-time commitment. Candidates should ensure that there are no conflicts due to academic work classes, assignments, or other obligations that occur during the time of their internship. All planned absences for exams, for example, should be reported to the recruiter prior to time to schedule the time accordingly. Candidates who are successful candidatesration of their availability, signed by an authorised university, confirming their capacity to complete their full time of the internship. The start of the internship is contingent on the satisfactory submission of this declaration. Specific guidelines for the team concerning working times will be announced by the manager of hiring or reporting prior to the beginning of the internship period.
Key Responsibilities
- Solution-Driven by Data: Make use of sophisticated data analysis and statistical techniques to design solutions that improve customer satisfaction and inform strategic business decision-making.
- Predictive Analytics: identify the key predictors as well as the root of business problems, and implement innovative methods for forecasting and predicting to solve these issues.
- Opportunities Identification: Conduct thorough analyses to discover areas of improvement. Write recommendations to the stakeholders.
- Collaboration Leadership: Collaboration with teams of cross-functionality, leading analyses of quantitative data while ensuring the highest standards of analysis accuracy and data integrity.
- Problem-solving: tackles difficult business issues by looking at their root causes and designing long-term solutions based on data.
Basic Qualifications
- Candidates must be of the age of 18 or older.
Preferred Qualifications
- Technical proficiency: Experience with hands-on tools such as R, SAS, Matlab and SQL for analysis and modelling of data.
- Expertise in Modelling: Experienced in manipulating data modelling, selection of models, cross-validation, training, and large-scale deployment.
- Machine Learning Knowledge: A familiarity with deep and machine learning frameworks, such as MXNet, TensorFlow, Caffe or PyTorch.
- Big Data Experience: Experimentation with big data platforms such as Apache Spark or Hadoop for analysis and processing of large data sets.
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Application Process
Candidates interested in applying are required to submit their applications, making sure that all the required documentation that including the university-signed declaration of availability, is submitted. Early applications are recommended because this position is extremely competitive. Candidates will receive additional details regarding the process of selection process and expectations for the internship upon submitting their applications.