Senior Data Scientist

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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. We have a tremendous responsibility to our customers to help transform their organizations on how they facilitate collaboration within Teams. We use data to organize our backlogs. We empower our industry-leading design and user research teams to own the user experience of our product. We take a direct role in framing our business value directly to our customers and vibrant community of fans.

Our team has people from a wide variety of backgrounds, identities, previous work histories, life experiences, and we are eager to maintain and grow that diversity. We believe it creates the best outcomes and is the source for creative collaborations between colleagues.

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 Senior Data Scientist to join our Platform team and work on transformative projects that enhance user collaboration in Microsoft Teams. In this role, you will leverage your expertise in data science and AI to manage and optimize the entire user journey, from administrative setup to user discovery and retention. You will be an integral part of our team, collaborating with various teams to develop strategies that enhance user engagement and satisfaction. The ideal candidate will have technical depth and experience in leveraging statistics, data analysis, and visualization to drive actionable business insights and successful 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.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
  • OR equivalent experience.
• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

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:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ years 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 5+ 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.
• 5+ 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.
• 5+ 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.

#MicrosoftTeams

• 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.
• 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.
• 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.