Required Qualifications:
- 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)
- 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 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 equivalent experience.
- 2+ years customer-facing, project delivery, professional services, and/or consulting experience centered around enterprise product and feature building.
- 3+ years leveraging the practical uses of statistics (i.e. experimentation, sampling).
- Experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
- 3+ years of experience in SQL and R or Python.
Preferred Qualifications:
- 3+ years with leveraging passion for & understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
- Have a track record of innovative thinking and problem-solving skills using Big Data.
- Be self-driven and show the ability to deliver on ambiguous projects with incomplete data.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 7, 2024.