Senior Data Scientist

The Cloud Operations + Innovation (CO+I) organization is seeking a Senior Data Scientist for our Datacenter (DC) Capacity Planning group. This role in the Capacity planning group supports our rapidly scaling global data center infrastructure supply, which supports the full spectrum of Microsoft products and services. This role sits at the nexus of multiple teams and is the catalyst for building the right DC supply, optimizing existing supply for the future balance of cost, technological shifts and available infrastructure.

This role will be responsible for analyzing new technology roadmaps including transitions in data center infrastructure design, hardware tech roadmap, server SKUs, exit strategy including decommissions and assessing the impact on demand and the future capacity plan. This is a unique role in that decisions about future data center planning are made at the inflection point of current DC supply, future designs coupled with the impact on cost and infrastructure lead-time-capacity. The right candidate will have  analytical skills, ability to work well with ambiguity, collaboration and partnership skills underlined with a foundation in financial concepts.

The role also requires deep expertise in supply strategy, total cost to serve (TCO), Sales and Operations Planning (S&OP), statistical inventory management methods, advanced planning systems and methodologies, and IT infrastructure concepts.

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.

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

• Develop critical principles to support new technology transitions, exit strategy/principles and develop analysis to support business decisions.
• Prepare, present, and discuss data center capacity design strategies with senior leadership relating to cost, lead time, risk, and technical/operational constraints.
• Develop execution plans and programmatically deliver across a diverse group of stakeholders.
• Work across a diverse group of stakeholders to ensure we collaboratively improve, adapt, and adopt our processes and supporting software systems to support rapidly changing business requirements.
• Identify, evaluate, and implement data center supply planning improvements drawing on statistical methods, supply chain management principles and S&OP best practices.
• Embody our Culture and Values

Qualifications

Required/Minimum 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 techniques and reporting results)
  •  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 techniques and reporting results)
  • o OR equivalent experience.

Additional or 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 Sc