Amazon Recruitment India 2025 Hiring Data Scientist Intern

CyberTecz; India; Presencial; INR 167 400 - 334 800; Tempo integral

Resumo da oferta

Amazon Recruitment India 2025 is seeking motivated Data Scientist Interns to gain hands-on experience with big data, machine learning, and analytics. Ideal are B.E./B.Tech/M.Tech/MS/M.Sc students with strong Python, SQL, and statistical skills.

The role involves developing, automating, and running analytical models, working with tools like MXNet, TensorFlow, PyTorch, and platforms such as Spark and Hadoop. Internship requires full-time commitment with group collaboration across teams.

Qualificações

• Proficiency in Python, SQL and statistics.
• Experience in data analysis and modeling.
• Background in CS/Engineering or OR/Process Control is relevant.

Responsabilidades

• Use data analyses and statistical techniques to improve customer experience and guide business decisions.
• Identify predictors and causes of business problems and implement forecasting approaches.
• Identify, develop, manage, and execute analyses to uncover opportunities and present recommendations.
• Collaborate with teams as a leader of quantitative analysis and ensure data integrity.
• Analyze and solve business problems at their root.

Conhecimentos

Python

SQL

Statistics

ML

Formação académica

B.E./B.Tech

Ferramentas

MXNet

TensorFlow

Caffe

PyTorch

Apache Spark

Hadoop

Descrição da oferta de emprego

Amazon Recruitment India 2025 Hiring Data Scientist Intern

Amazon Recruitment India 2025 is now hiring Data Scientist Interns, offering an exceptional opportunity for students and fresh graduates to gain hands‑on experience with big data, machine learning, and advanced analytics. Ideal for B.E/B.Tech/M.Tech/MS/M.Sc students with strong Python, SQL, and statistical skills, this internship allows you to work on real‑world problems that impact millions of Amazon customers.

Company Name: Amazon

Job Profile: Data Scientist Intern

Degree Needed: B.E/B.Tech

Passout Year: 2024, 2025

Experience Level: 0-1 Year

Job Description:

We are looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control are particularly relevant for this position. Experience in the integration of model‑based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

Basic Qualifications:

• Are 18 years of age or older

Preferred Qualifications:

• Experience in R/SAS/Matlab and SQL
• Experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
• Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
• Experience with big data platforms like Apache Spark and Hadoop

Job Responsibilities:

• Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
• Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
• Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
• Analyze and solve business problems at their root

"Amazon internships require full‑time commitment. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship confirmation shall be required to submit declaration of their availability to complete the entire duration of internship, duly signed by a competent authority at their University. Internship commencement will be subject to successful submission of the declaration."