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Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solutions, and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications, and this organization is at the heart of how business applications are designed and delivered. 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.
Job Responsibility:
Help shape our data strategy to inform product decisions, drive investment portfolio, and identify new growth areas
Partner with our engineering teams to solve complex problems at scale while doing so with impeccable quality
Requirements:
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
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR equivalent experience
5-7+ years (including MS program or PhD program) of experience working with large data sets or doing large scale quantitative analysis and predictive modeling work
Experience working on various forecast tasks
Experience processing large data sets through statistical software (ex. R, SAS) and program language (ex, Python), or other methods
Solid algorithmic problem-solving skills
Fundamental understanding of statistics, transformer modelling, regression, classification, and optimization
Experience with one or more of the commercial or open source statistical and various machine learning software
Solid experience working with SQL skill, Spark, TensorFlow, Pytorch
Preference towards to the abilities and experiences of NLP