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Microsoft’s Online Shopping team is collaborative and interdisciplinary. You will work closely with a diverse team within Microsoft that brings together Applied Scientists, software engineers, Data engineers and Product Managers. By bringing together a unique combination of knowledge and skillsets, as well as cutting edge Technology, we build novel solutions to global online Shopping. As a Snr Applied Sciences Specialist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.
Job Responsibility:
Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques
Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies
Review business requirements and incorporate research to meet business goals
Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact
Participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams
Identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline
Document work in progress and experimentation results and share findings to promote innovation
Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)