Principal Data Science Manager

We are looking to hire a Principal Data Science Manager to join our team! Microsoft’s Cloud and AI (Artificial Interlligence) 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.

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

• Lead, build, grow and support a highly performing, inclusive 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 analytical solutions and scalable ML 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 5+ 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience
• 3+ years of people management experience
• 5+ years of experience with big data technologies like Python, AzureML, Cognitive Services, OpenAI, PowerBI, Fabric, Synapse, etc.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 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
• Advanced degree in data science, computer science with a focus on machine learning, or related fields
• Knowledge and experience working within cloud computing environments such as Azure

Data Science M5 - 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.

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 May 13, 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.

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