Principal Data Science Manager – CX Data + AI Support

Microsoft’s Cloud and Artificial Intelligence group is at the forefront of cloud computing and artificial intelligence, driving innovation and large-scale AI implementation. The Customer Experience (CX) Data and AI team within this group is dedicated to delivering impactful data, insights and AI that drive growth of the Microsoft Cloud. Our Data Science and AI team works closely with our engineering and product management counterparts to perform analysis, drive impactful insights and deploy machine learning and AI solutions for a variety of product and business scenarios. We collaborate closely with teams across engineering, finance, business planning, and sales and marketing as part of our mission. We are looking for a Principal Data Science Manager to drive data science for our efforts in the Microsoft Support space.

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. 

Responsibilities

• Lead, build, grow and support a team of data scientists.
• Bring structure to ambiguous problems, decomposing them into scalable solutions that drive measurable business impact.
• Translate business requirements into concrete deliverables, including design, development, testing, and deployment of ‘full stack’ Data Science solutions – from analytics and Business Intelligence to scalable Machine Learning and Artificial  Intelligence solutions.
• Collaborate with cross-functional teams to deliver value to stakeholders and products.
• Work with large volumes of data to solve real-world problems.
• Contribute to global impact through collaboration with diverse teams.

Other

• Embody our Culture and Values

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 5+ years people-management 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 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 12+ 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 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 7+ years people-management experience.

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