Principal Data Scientist

Key Skills

A/B Testing, Analytical and Problem solving, Apache Hadoop, Data science techniques, Design, Effective communication skills, MapReduce, Python Programming, R Programming, SQL, Statistical modeling, Statistics

Job Description

Overview

The Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners. We are looking for a Principal Data Scientist. The person in this role will have the opportunity to influence the next generation of Microsoft Teams Meeting and Calling experiences. 

We are a modern product and services organization, one of the largest business & consumer services on the planet, with over 300 million monthly active users. 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.

About Our Culture: 

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. 

This role provides hybrid work flexibility with 50% work from home, and 50% on-site work at Microsoft's Redmond campus. 

Qualifications

Required/Minimum Qualifications

• 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 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 techniques and reporting results)
• OR 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 equivalent experience.
• 7+ years experience leveraging the practical uses of statistics (i.e. experimentation, statistical modeling). 
• 7+ years experience in SQL, R, Python, or related tools for large-scale analysis.     

Additional or Preferred Qualifications

• Experienced working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.    
• Experience as a data scientist for an online service, app, or Web site with millions of users, ex: experience working on an online collaboration, video conference, or messaging product. 
• Have a track record of innovative thinking and problem-solving skills using Big Data.    
• Have the ability to deliver on ambiguous projects with incomplete data.    
• Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.      
• Ability to 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 $133,600 - $256,800 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 $173,200 - $282,200 per year.

Responsibilities

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

• Utilize tools like SQL, R, Python to execute analyses.   

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

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect