About Company:Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington, United States. Microsoft’s best-known software products are the Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. The Detailed Qualifications & Eligibility for Microsoft Engage 2023 are given below.

Company Name: Microsoft

official Website: Microsoft

company wikipedia: Microsoft wiki

position: Data Scientist Intern

degree required: B.E/B.Tech/M.E/M.Tech

Passout Year: 2021/2022/2023

Work Loaction: Bangalore, Hyderabad, Noida

Package: Best in industry

Experience Required:0-2 years

Qualifications::

• Pursuing a bachelor’s or master’s degree in engineering, computer science or related field.
• One year of programming experience in an object-oriented language.
• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
• Ability to write clean, well-crafted code with an emphasis on quality, simplicity, durability, and maintainability.
• Communicate effectively to surface progress, risks and help needed within the project team.
• Good to have:
  • Kaggle score
  • Knowledge of C++, C#, and .NET
  • R / Matlab / Scipy / Pandas / Weka
  • Scripting languages such as Perl and Python.
  • Experience with Hadoop / Hbase / Pig or MapReduce / Bigtable / AzureML (a plus)

Roles & Responsibilities:

Data Scientists at Microsoft build and evaluate machine learning models and algorithms to solve real-world problems. You will be expected to demonstrate an ability to learn and adopt relevant new technologies, tools, methods and processes to leverage in your solutions. Work with an interdisciplinary team on real-world applications of computer vision, machine learning geared towards applications for human communication and well-being.

• Develop highly scalable classifiers, data regression, recommendations, and predictive models.
• Analyze petabytes of data and mine patterns from logs.
• Bring data to life using rich visualizations.
• Create language models, speech models, vision models, etc.
• Suggest, collect, and synthesize requirements and innovate to create next-generation feature sets.
• Enable natural and contextual interactions in apps integrating cognitive and analytics services.
• Adapt standard ML methods to best exploit modern parallel environments.
• Implement algorithms that power user and developer-facing products reaching out to millions of users.
• Measure and optimize the quality of your algorithms.
• Work in product teams shipping large-scale end-to-end applications/solutions.

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