Are you someone with a passion for data, analytics, insights and technology? Do you want to work on one of the largest data science teams at Microsoft, lighting up actionable insights that drive the key business decisions for the entire Office365 organization? The Microsoft 365 Insights, Data Engineering and Analytics team (IDEAs) is a centralized team enabling Office365 engineering and marketing. The team is looking for a passionate, creative, analytical and experienced data scientist who can identify and create initiatives with the leadership skills and business acumen to drive strategic adoption across the organization. Our team owns the end to end decision sciences charter for Office365 that includes: In partnership with product engineering, marketing, and finance stakeholders, driving opportunity analysis and data-driven hypotheses to identify areas of investment throughout the end-to-end user lifecycle Building advanced analytical models (behavior segmentation, churn prediction, purchase
Provide technical leadership to the team on designing, prototyping, implementing and testing descriptive and predictive analytics models Providing insight to senior management to support strategic decision-making, preparing and delivering insights and recommendations based on analyses Work with data engineers to architect and develop operational models that run at scale Partner with cross-functional teams to identify and explore opportunities for the application of machine learning and predictive analysis Communicates well with technical and non-technical audiences, and contributing modeling expertise
Master's degree or higher in Statistics/Math/Data Science or related field 10+ years of industry work experience in integrating statistical models, machine learning, and analysis (Prediction, Classification, Clustering, time series forecasting, regression models, etc.) into business strategies in a big data environment Advanced working knowledge of statistical programming language such as R or Python Advanced working knowledge of data mining using SQL, ETL and Data Warehouses Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred Familiarity