Principal Data Scientist

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 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.

We are looking for a highly skilled **Principal Data Scientist** to work on some of the biggest changes in how users collaborate in Teams including mobile, search, notifications, and copilot. Our goal is to enhance these features, improving the mobile user experience, helping users stay on top of their tasks, and enhancing the search experience. Data is key to getting it right 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.

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.

**Responsibilities**:

- Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
- Work cross functionally to translate business problems into ones that can be solved and informed by data.
- Communicate vision and strategy, enabling global teams to operate independently to deliver success
- Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
- 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.
- Grow and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
- Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.

**Qualifications**:
**Required Qualifications**:

- **Other Requirements**:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- ** Microsoft Cloud Background Check**: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

**Preferred Qualifications**:

- 3+ years leading and growing a team of data scientists.
- 7+ years leveraging passion for and understanding 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.
- Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product is a plus.
- 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.
- 7+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling)
- Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
- 7+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
- Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.