Senior Data Scientist - Microsoft Advertising

Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components. Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions. Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve. Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business. Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. Make independent decisions for the team and handle difficult tradeoffs. Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ Comitted organizational, analytical, data science skills. Ability to solve problems that the world has not solved before. Experience with real world system building and data collection, including design, coding and evaluation. Experience with driving large collaboration across multiple teams. Experience with communicating with different audiences to provide insights. Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.