Microsoft Hiring Drive 2024 For Data Scientist | Location Bangalore

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Microsoft Hiring Drive 2024: Microsoft  Hiring Drive 2024 for its Data Scientist. Microsoft  Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a BS/MS degree in Computer Science, Statistics, Applied Mathematics, Physics, or related disciplines. if you are interested, please apply as soon as possible.

Company Name: Microsoft 

Role: Data Scientist

Location: Bangalore

Experience: 3+ years

Qualification: BS/MS in Computer Science, Statistics, Applied Mathematics, Physics or related disciplines

Batch: Any

Job Type: Full Time

Salary: 17.9 LPA (Expected)

Microsoft Hiring Drive 2024

Job Description:

  • We are inviting you to join the Microsoft Advertising Data Science Team. 
  • Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally.
  • Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions.
  • The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. 


  • Demonstrated experience in applying statistics and ML models to generate clear actionable insights. 
  • Proven experience in Experimentation framework and statistics 
  • BS/MS in Computer Science, Statistics, Applied Mathematics, Physics or related disciplines. 
  • Excellent communication to be able to communicate insights to senior leaders. 
  • 3+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ 


  • Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced data science methods. 
  • Provide creative solutions to marketplace problems using scalable ML models, both for short- and long-term questions. 
  • Develop scalable statistical/mathematical frameworks and strong analytics for common problems in Ads Space. 
  • Work across engineering and product teams to enable metrics for product success. 
  • Share standard methodologies and documentation across teams. 

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