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Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead. As an Applied Sciences Specialist, you will help instantiate new technology into production by advancing the state-of-the-art internally and externally to address product needs. You will act as the “and” in R&D by blending techniques of both researchers and development teams to drive innovation from theory into reality. This opportunity will allow you to work on the design, development, execution and implementation of technology research projects in collaboration with Research Scientists, software engineers, program managers and others, either serving as a catalyst for technology transfer into products and services or architecting and engineering such products and services directly. 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:
Gain an understanding of the latest research related to Microsoft products or business groups and assists in technology transfer attempts, contributing to patents, co-authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups
Gain an understanding of a broad area of research (e.g., Machine Learning, Natural Language Processing, Computer Vision, Statistical Modeling, Data-Driven Insights) and the corresponding literature and applicable research techniques
Help reinforce a positive environment by learning and adopting best practices and maintain or develop ties with external network of peers and identify prospective talent for Microsoft research pipelines, when asked
Assist with documentation for senior team members as requested and participate in the creation of informal documentation as well as follow ethics and privacy policies when executing research processes and/or collecting data/information
Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints and review data and suggests data to be included and excluded to address data quality problems
Embody our culture and values
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field