Data Scientist

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 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 the leaders across Content team, Product team, Ranking team and other teams to acquire more publishers for Start platform and ensure they become successful.  

This role requires technical depth and experience leveraging statistics, data analysis & 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. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

Required 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 (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 data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • 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. 

Preferred Qualfications:

• Demonstrated background in Data Science and Analytics, hypothesis driven, with a passion for data and a bias for action.     
• Experienced in framing and participating in data-driven business decisions, including measuring, and evaluating outcomes.    
• Ability to communicate clearly complex ideas and concepts to leadership and deliver results.    
• Comfortable with manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.    
• Prior working experience with Content related products.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Work closely with the content team to understand business problems, collect, organize, and analyze data from multiple environmental sources, telemetry systems, organize them so that they can be consumed.   
• Create KPIs and set goals for key teams, that are directly aligned with business success. 
• Perform business modelling 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 and which not to at any given time. 
• 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 and measurements that really affect decision making process. 
• Own the delivery of the reporting and insights on a regular cadence to the stakeholders and senior leadership teams. 
• Embody our culture and values.