Join the Microsoft Identity division and use petabytes of data to drive data-driven strategic decisions that directly impact millions of users. The Identity division is at the center of Microsoft's cloud strategy, providing authentication and authorization services that are used by over a billion Windows, Office, XBOX and Azure users worldwide. Identity services handle millions of requests per minute from our data centers worldwide, collecting high value telemetry data. You can turn this data into actionable insights and enable the business to reach into the new heights. The Identity Data, Experimentation, and Analysis (IDEA) team is growing and looking for motivated, fun team members. We are looking for an expert in the field of data science experienced in leveraging big data from varying sources to drive business success. Current projects in the team range from anomaly detection algorithms, clustering, predictive modeling, and word embeddings with NLP. As a principal data scientist, you
Responsibilities Understand complex business problems and break them down into actionable investigations and experiments Formulate and apply effective algorithms and statistical modeling Interpret results of data experiments and derive meaningful actions to grow the business and increase adoption Work with data engineers to operationalize multipurpose and reusable data models Engage in the peer review process and act on feedback to continually improve our craft
Qualifications Advanced degree in Statistics/Math/Computer Science/Economics/Business or Engineering 10 years hands on data science or analytics experience with proven quantitative orientation Proven ability to implement statistical models (forecasting, clustering, regression models) Advanced algorithms (Machine Learning, AI, Natural Language Processing, Anomaly Detection) Proficiency in data oriented programming or scripting languages (SQL, Python, Perl, JavaScript) Skilled in analytic and reporting tools (R, Excel, Power BI, SSRS) Exceptional problem solving, technical and data analysis skills