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Bengaluru, Karnataka, India
Posted on Monday, February 12, 2024
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.


We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

The Responsibilities In This Role Include

  • Work with large, complex data sets, solving difficult, non-routine analyses, 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.



  • Demonstrated experience in applying statistics and ML models to generate clear actionable insights.
  • 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++

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.