.MSN specializes in building personalized and engaging content feed around news, shopping, sports, weather, and finance that can scale to 1B+ Microsoft users on desktop and mobile.We are looking for an experienced Principal Data Science Manager to conduct analytics for the Partner Success team, which is responsible for all content acquisition and business development with media partners. At Microsoft, we have access to vast data sets. Our goal is to connect perceptions, behavioral, and financial data to uncover unique insights that help drive decisions. The role involves working with leaders across the Content team, Product team, Ranking team, and other teams to acquire more publishers for the Start platform and ensure their success.This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes. In this role, you will be responsible for delivering deep analytical insights on the key drivers that drive business success.ResponsibilitiesWork closely with the content team to understand business problems, collect, organize, and analyze data from multiple environmental sources, and telemetry systems.Create KPIs and set goals for key teams that are directly aligned with business success.Perform business modeling that helps identify points of growth and initiate projects with positive long-term ROI.Learn and understand a broad range of data resources and know when, how, and which to use.Create self-service powerful dashboards and reports for various stakeholders through reporting platforms.Provide comprehensive analysis of the current state of the product, identify best data sets, Data Science methodologies, algorithms, tools, and infra needed to generate insights that affect decision making.Own the delivery of reporting and insights on a regular cadence to stakeholders and senior leadership teams.Embody our culture and values.QualificationsRequired Qualifications:Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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 data-science experience.OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data science experience.OR equivalent experience.Customer-facing, project-delivery experience, professional services, and/or consulting experience.Experience developing metrics and reporting using technologies such as SQL DBs, Spark, etc.Data analysis experience with languages like Python/R
