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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 Principal Applied Scientist in the Catalog Enrichment Team, you will build production-level Machine Learning models and have them integrated in large scale data pipelines running on Billions of records with low latency. You will be responsible for solving the challenging problems that the team is facing to unblock major problems leading to improved quality and coverage of Shopping data assets and an enhanced user experience.
Job Responsibility:
Bringing the State of the Art to Products
Capability Management and Networking
Documentation
Ethics and Privacy
Leveraging Applied Research
Machine Learning Functionality, Insights, and Technical Tools
Requirements:
Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
OR equivalent experience.
Nice to have:
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR equivalent experience
3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
7+ years experience conducting research as part of a research program (in academic or industry settings)
5+ years experience developing and deploying live production systems, as part of a product team
7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.