Principal Data Scientist

The SharePoint Data Science team's charter is to foster a data-driven culture, ensuring that all key organization and product decisions are informed by data. Our team works closely with product management, engineering, marketing, user research, design and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. We analyze historical data to understand salient trends, deliver standardized views of business performance, develop models to predict performance, recommend actions to be taken, and run experiments to prove that desired outcomes are being achieved.  

This is a unique opportunity to bring your knowledge of enterprise software 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 people 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 a Principal Data Scientist 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.  

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical te
  • OR equivalent experience.
• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ years leveraging the practical uses of statistics (i.e. experimentation, sampling) 
• 5+ years of professional experience in SQL, R, Python or related tools for large-scale computing systems like Hadoop, MapReduce, and/or similar systems.   

Preferred Qualifications:

• 5+ 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. 
• Communications & interpersonal skills. Ability to influence and communicate complex analysis & insights to a non-technical audience. 

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until November 28, 2024.

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.

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

• 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. 
• Conduct AB testing. Design, execute and analyze experiments to prove product change attribution.  
• Utilize tools like SQL, R, Python to execute analyses.