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.
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.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.