Microsoft Data Scientist II 

India, Karnataka, Bengaluru 

17785201

Msec CXE. We work with.

Shared SeMicrosoft.Your primaryresponsibilitiesinclude understanding product/business priorities, conducting opportunity analysis, defining product metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets.

We are looking for an experienced Data Scientist with a proven track-record of solving complex data analysis and machine learning problems in a real-world product setting. We want folks who are passionate about cand driving user engagement and growth. An ideal candidate will closely partner with product teams to drive product/business growth with meaningful insights and data-driven recommendations and experimentation.on withExperience with experimentation and with driving growth in a subscription business is a plus.

• /Master’sdegree inMathematics, Statistics, Data science,Computer Science, Computer Engineering, or related field

• 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statisticaltechniques,and reporting results)

• building product/business metrics

• Solid foundation of statistical modeling, machine learning algorithms and experimental design.

• Hands-on experience withbig data technologies as well asdata analytics tools

• Excellent data visualization skills to be able to present insights that drive business impact

• Excellent communication & collaboration skills

• track recordof self-directed execution

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include, but are not limited to the following specialized security screenings:

to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• sdeep understanding of the Microsoft Security business, technology, and customers.
• Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Transforms problems into analysis plans for data telemetry, metrics, predictive modeling, reporting, and experimentation. Communicates and gets alignment on analytics priorities.
• Maintaining a robust understanding of evolving AI technologies to keep solutionscutting edge.
• Partnerswith teams across Microsoft & within Identity division to drive customer opportunities and revenue growth.
• Communicates key outcomes with stakeholders and leadership.
• Mentorsother data scientistsand data engineers.