Machine Learning Scientist | Redmond, Washington, United States | Microsoft Corporation

Position:	Machine Learning Scientist
Institution:	Microsoft Corporation
Location:	Redmond, Washington, United States
Duties:	You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance; As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams; You will work with engineers to architect and develop operational models that run at scale; You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player; You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results
Requirements:	Bachelor's Degree in Statistics, Math, Computer Science, or related field and 2+ years related experience (e.g., statistical, predictive, classification, clustering models; machine learning; analysis in big data environment)

Text:	Machine Learning Scientist You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance; As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams; You will work with engineers to architect and develop operational models that run at scale; You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player; You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results Bachelor's Degree in Statistics, Math, Computer Science, or related field and 2+ years related experience (e.g., statistical, predictive, classification, clustering models; machine learning; analysis in big data environment)