•  Discovers, clarifies, and defines questions, hypotheses, or opportunities to which scientific data methods can be applied to achieve business and/or customer goals  
•  Drives clear, compelling, actionable, well-timed insights through storytelling, visualizations, and other tools that influence product/service improvements that yield customer/business value.  
•  Apply data exploration and statistical data analysis methods correctly to discover new or previously unasked questions, and rigorously document the approach, analysis, and results  
•  Applies (and customizes as necessary) tools to efficiently collect, clean, and prepare massive volumes of data for analysis.  
•  Extends existing data sources by adding attributes, mitigating data limitations, and using existing sources in ways that significantly improve results.  
•  Designs well-formulated experiments by collecting data, applying the    appropriate methods   , algorithms, and tools, and by statistically validating results against known biases and errors  
•  Develops foundational knowledge and methods that address key problem    areas, and   shares them with the broader team.  
•  Use agile development principles to produce continuous value while readily adapting to change  
•  Model Microsoft cultural    values,   foster a healthy and inclusive team environment.  

•  5+ years of experience in Data Engineering, Data Science, Analytics and/or Statistics  
•  Degree in Data Science, Computer Science, Statistics, Mathematics  
•  Experience with experimentation, A/B testing, statistical inferencing, power analysis etc.  
•  Proficiency   in using one or more programming or scripting languages like Python, Perl, JavaScript, C, C# to work with data  
•  Experience performing data analysis and applying statistics working with tools like Excel, R, MATLAB, AMPL, or SAS  
•  Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data  
•  Engineering experience using large data systems on SQL, Hadoop, Hive queries, etc.  
•  Effective collaboration skills to increase efficiency, drive product and business impact  

 Preferred    Qualifications    

•  Experience with machine learning, deep learning, anomaly detection, predictive analysis etc.  
•  Advanced data visualization experience using tools such as Power BI, Tableau, Looker etc.  
•  Prior experience in consumer or B2B acquisition, renewal and expansion campaigns is a plus  
•  Familiarity with modern software engineering tools including git  
•  Excellent written and verbal communication skills  

Key Skills

Data analysis; data science; SAS; Machine learning; Javascript; Perl; MATLAB; Analytics; SQL

About Company

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world. We do business in 170 countries and are made up of 144,000 passionate employees dedicated to fulfilling our mission of helping you and your organization achieve more.