Microsoft Data Scientist II 

India, Karnataka, Bengaluru 

102499660

About Our Culture

We believe it creates the best outcomes andis the source for

Required Qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR equivalent experience.

Preferred Qualifications:

• 3+ yearsleveragingpassion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
• Experienceas adata scientist for an online service, app, or Web site with millions of users.Experience working on an online collaboration, video conference, ormessagingproduct.
• Havea track recordof innovative thinking and problem-solving skills using Big Data.
• Have the ability to deliver on ambiguous projects with incomplete data.
• 3+ yearsleveragingthe practical uses of statistics (i.e.experimentation, statistical modeling).
• Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
• 3+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
• Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.
• Experience working as part of geographically dispersed, diverse, and virtual teams.

• Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
• Work cross functionally to translate business problems into ones that can be solved and informed by data.
• Communicate vision and strategy, enabling global teams tooperateindependently to deliver success.
• Have curiosity and apply analytical skills to dive deep into data to find key insights thatimpactthe business.
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
• Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.
• Utilize tools like SQL, R, Python to execute analyses.
• Develop and manage relationships with product and business leaders across the organization to understandobjectivesandidentify