Amazon Hiring Data Scientist Intern in Bengaluru| Best Opportunity|

• Job Title: Data Scientist Intern
• Company: Amazon
• Degree: Any Graduate Can Apply
• Salary: Rs 15,000-26,000/- Per Month
• Location: Bengaluru, India
• Job Type: Internship
• Experience: Freshers/Experienced Both Eligible.

About Amazon:

Amazon is a global technology company that focuses on e-commerce, cloud computing, digital streaming, artificial intelligence, and more.

With a commitment to innovation and customer-centric solutions, Amazon provides an environment that fosters learning, growth, and collaboration.

Job Description: Data Scientist Intern

The Data Scientist Intern will join our Bengaluru team and work on cutting-edge projects involving data analysis, machine learning, and predictive modeling.

This internship offers an exceptional opportunity to gain hands-on experience in leveraging data to drive business decisions and solutions.

Key Responsibilities:

1. Data Analysis and Interpretation:

• Collect, clean, preprocess, and analyze large datasets using programming languages like Python, R, or SQL.
• Apply statistical methods, machine learning algorithms, and data mining techniques to derive meaningful insights and patterns from data.

2. Collaborative Projects:

• Work collaboratively with cross-functional teams to understand business objectives and identify opportunities for leveraging data to drive solutions.
• Participate in project discussions, contributing data-driven insights and suggestions to address business challenges.

3. Model Development and Evaluation:

• Develop predictive models, machine learning algorithms, and statistical analyses to support decision-making processes and improve operational efficiency.
• Evaluate model performance, iterate on models, and fine-tune algorithms to enhance accuracy and effectiveness.

4. Communication of Findings:

• Present findings, insights, and recommendations to stakeholders through reports, data visualizations, and presentations.
• Clearly and concisely communicate complex technical concepts to non-technical audiences.

5. Solution Implementation and Enhancement:

• Contribute to the development and enhancement of data-driven products, tools, or systems aimed at improving customer experience or operational processes.
• Collaborate on the implementation of data science solutions into Amazon’s existing infrastructure.

6. Research and Innovation:

• Stay updated with the latest advancements and best practices in data science, machine learning, and analytics.
• Propose and explore innovative approaches or techniques to tackle challenges or improve existing processes.

Qualifications:

• Pursuing a Bachelor’s, Master’s, Statistics, Mathematics, Economics, or a related field.
• Proficiency in programming languages like Python, or SQL for data manipulation and analysis.
• Experience in R/SAS/Matlab and SQL
• Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques.
• Strong problem-solving skills and the ability to work independently and in a team environment.
• Previous internship, coursework, or project experience in data analysis, machine learning, or related fields is advantageous.
• Fluent written and spoken English

Skills Required:

1. Programming Skills: Proficiency in languages like Python, R, or SQL for data manipulation, analysis, and querying databases. Knowledge of additional programming languages like Java, Scala, or Julia can also be beneficial.
2. Statistical Knowledge: Strong understanding of statistical concepts, hypothesis testing, probability, regression, and other analytical techniques used in data analysis.
3. Machine Learning: Familiarity with machine learning algorithms, including supervised and unsupervised learning, classification, clustering, regression, neural networks, and natural language processing (NLP).
4. Data Handling and Cleaning: Ability to clean, preprocess, and handle large datasets using tools like Pandas, NumPy, or similar libraries, and experience in data wrangling techniques.
5. Data Visualization: Proficiency in data visualization tools and libraries like Matplotlib, Seaborn, Tableau, or Plotly to create compelling visual representations of data insights for stakeholders.
6. Big Data Technologies: Understanding of big data frameworks such as Hadoop, Spark, or Hive, and experience with distributed computing and data processing.
7. Database Knowledge: Familiarity with database systems like MySQL, PostgreSQL, MongoDB, or Amazon’s database services.

Benefits of the Data Scientist Intern:

• Hands-on experience working on impactful projects within a global tech company.
• Mentorship and guidance from experienced data scientists and professionals.
• Exposure to cutting-edge technologies and tools used in data science and analytics.
• Networking opportunities and engagement with industry experts.
• Competitive compensation and potential for future full-time employment based on performance and business needs.

How To Apply:

Interested candidates are encouraged to apply through the Amazon careers portal by submitting their resume and cover letter. Qualified applicants will be contacted for further interviews and assessments.

 Apply Here 

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