Embark on an impactful internship at Microsoft, joining a global community of interns dedicated to innovation and personal growth. This data science internship offers a unique chance to apply your knowledge of machine learning, statistics, and experimental design to enhance cutting-edge products and drive significant business outcomes. You'll collaborate closely with stakeholders, developing strategies to tackle complex challenges and leveraging data to meet critical business and engineering demands. This role is ideal for individuals seeking to blend strong engineering skills with analytical prowess to elevate customer experiences across Microsoft's diverse range of devices, operating systems, products, and services, uncovering novel insights into business and customer trends.

Develop innovative approaches to problem-solving utilizing well-defined algorithms and relevant data sources. Integrate a deep understanding of product functionality and customer perspectives to provide essential context for problem definition. Employ advanced data exploration techniques to uncover new questions and opportunities within your designated problem area, assessing the applicability and limitations of available data. Interpret analytical results, validate methodologies, and continuously monitor, analyze, and iterate to achieve ongoing improvements. Collaborate effectively with peer stakeholders to generate clear, persuasive, and actionable insights that influence product and service enhancements, impacting millions of customers. Actively participate in the peer review process, incorporating feedback and learning new methods, algorithms, and tools to maximize the impact and applicability of your findings.

Currently pursuing a Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field. Must have at least one additional quarter/semester of academic study remaining after the internship concludes. Preferred candidates will be pursuing a Master's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a similar discipline.

This position is open for a minimum of 5 days, with ongoing applications accepted until the role is filled.