Data Scientist Internship In Microsoft, Every year we welcome thousands of university students from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

The internship is designed not only for you to do great work with the opportunity to learn and grow, but to experience our culture full of diverse community connections, executive engagement, and memorable events. We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.

Data Scientist Internship In Microsoft Overview

Company Name Microsoft
Post Name Data Scientist Internship
Job Type Full-Time
Worksite Up to 50% work from home
Location Hyderabad, Noida, Bangalore
Experience Freshers
Category Private Jobs
Salary Best In Industry
Official Website microsoft.com
Data Scientist Internship In Microsoft

About Microsoft Company (Data Scientist Internship In Microsoft)

Data Scientist Internship In Microsoft

Microsoft, a renowned technology company, has been at the forefront of innovation and software development for several decades. With a mission to empower people and organizations across the globe, Microsoft has left an indelible mark on the tech industry. In this article, we will delve into the various aspects that make Microsoft an influential player in today’s digital landscape. Microsoft was founded in 1975 by Bill Gates and Paul Allen, two visionaries who sought to revolutionize the way people interacted with computers.

Microsoft’s first major success came with the development of MS-DOS (Microsoft Disk Operating System), which became the dominant operating system for personal computers in the 1980s. MS-DOS introduced a command-line interface and paved the way for the graphical user interface (GUI) that Microsoft would later perfect. In 1985, Microsoft introduced Windows, a graphical operating system that transformed computing for the masses.

Windows’ intuitive interface made computing accessible to a wider audience, solidifying Microsoft’s position in the market. Microsoft continued to release new versions of Windows, incorporating improvements and responding to user feedback. Microsoft Office, an essential productivity suite, was launched in 1989 and rapidly became a staple in homes, offices, and educational institutions worldwide. Word, Excel, PowerPoint: Each application within the Office Suite offers a comprehensive set of tools that cater to various professional needs. Continual Enhancements: Microsoft has continuously refined and expanded the Office Suite, adapting to the evolving needs of users.

Microsoft’s journey from a small software company to a global tech giant has been remarkable. The company’s commitment to innovation, diverse product offerings, and emphasis on empowering individuals and organizations have solidified its position as one of the world’s most influential technology companies. As Microsoft continues to shape the future of technology, it remains a force to be reckoned with for years to come.

Data Scientist Internship In Microsoft : 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.

Machine Learning Discipline @ Microsoft:

Microsoft’s tools drive the widespread adoption of Machine Learning and AI on the cloud, by providing a highly productive experimentation and modeling environment to help teams of data scientists and data professionals be highly productive with AI. We design, build and operationalize data science tools and environments to create end-to-end solutions for high value customer & partner scenarios leveraging big
data, scalable systems. Microsoft is continuously investing globally on this technology area to make our products smarter. A few areas where you would see ML applications in Microsoft are: Bing, Cortana, HoloLens, Xbox – Kinect, Azure Machine Learning, Microsoft OneDrive.

Responsibilities For Data Scientist Internship In Microsoft

  • 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 ofusers. Measure and optimize the quality of your algorithms.
  • Work in product teams shipping large scale end to end applications/solutions.
Data Scientist Internship In Microsoft

Qualifications For Data Scientist Internship In Microsoft

  • 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, and scripting languages such as Perl, Python.
  • Experience with Hadoop / Hbase / Pig or Mapreduce / Bigtable / AzureML a plu.

How To Apply For Data Scientist Internship In Microsoft ?

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