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.
Requirements:
- 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++
Responsibility:
- 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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