We are looking for a Data Scientist to join a new team focused on unlocking value for Microsoft customers by understanding product usage patterns across the entirety of Microsoft 365 (Viva Connections, Cortex, Syntex, OneDrive, Lists, SharePoint, and beyond).  This is a unique opportunity to bring your knowledge of Consumer and Commercial offerings, as well as your deep understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners. You will be joining a group of experts on the front lines of synthesizing vast customer purchase and engagement behavior data sets into targeted recommendations for addressing real-world business challenges at scale. 

We are looking for you to bring a fresh perspective and your unique voice to our team. 

About our Culture:

We are a modern product and services organization, one of the largest business & consumer services on the planet, and the second biggest workload in Office 365. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact.  We have a tremendous responsibility to our customers to help transform their content needs with Microsoft 365. We use data to organize our business priorities. We empower our industry-leading data science, design, and user research teams to own our product's user experience. We take a direct role in framing our business value directly to our customers and vibrant community of fans. 

Responsibilities

• Work cross functionally to translate business problems into ones that can be solved and informed by data analysis. 

• Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business. 
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.  
• Work with other teams across Microsoft to develop key metrics to achieve business outcomes. 
• Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.  
• Be the subject matter expert, educate others, and integrate new cross-project methodologies (for example A/B experimentation, clustering, visualization standards, open source/industry tooling etc...) into the product development lifecycle.  

Qualifications

• 4+ years with leveraging passion for & understand the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.  
• Have a track record of innovative thinking and problem-solving skills using Big Data. 
• Be self-driven and show the ability to deliver on ambiguous projects with incomplete data. 

• 2+ years leveraging the practical uses of statistics (i.e. experimentation, sampling) 
• Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.   
• 5+ years of industry experience in SQL, R or Python or Databricks, or related tools for large-scale analysis.  
• Excellent communications & interpersonal skills. Ability to convince other strong personalities of their ideas and communicate complex analysis & insights to a non-technical audience. 

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.