Microsoft Data & Applied Scientist II 

Canada, British Columbia, Vancouver 

959658759

is responsible forproduct ads selection, relevance, modeling, and online infrastructure for serving and experimentingcutting edge

) team is at the core of this effort, responsible for research & development of all the algorithmic components in our advertising technology stack, including,

• User/query intent (text and image) understanding, document/ad understanding, user targeting - Relevance modeling, IR-based ad retrieval
• User response (click & conversion) prediction using large scale machine learning algorithms - Marketplace mechanism design and optimization, and whole-page experience optimization - Personalization
• Innovative new ads products
• Network protection, fraud detection, traffic quality measurement
• Advertising metrics and measurement, including relevance and ad campaign effectiveness
• Data mining and analytics
• Supply-demand forecasting
• Ad campaign planning and optimization
• Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis.

Required Qualification:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.
• 2+years working experience instatistical natural language processing (NLP) with latest deep learning technologies including transformer and LLMs
• OR 2+years working experience in Computer Vision

Preferred Qualifications:

• 2+ years working experience with coding in production systems usingc++, c#, jaya or python
• PhD degree is a plus.
• Deep learning or machine learning experiencewith experience with TensorFlow,Keras, orPytorchis aplus
• Publication record in ML, NLP areas (CV also is preferred)
• Experience in online advertising is a plus.
• Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE is a plus

Applied Sciences IC3 - The typical base pay range for this role across Canada is CAD $79,600 - CAD $153,000 per year.Find additional pay information here:

• sto mine and learn actionable insights from large scale data and signals we collect from user queries and online activities,advertisercreated campaigns and their performances, and myriad responses from the parties touched by the system in Bing ads paid search ecosystem.
• The person will play a key rolein drivingalgorithmic and modeling improvement to the system (esp. using deep learning techniques), analyze performance andidentifyopportunities based on offline and online testing, develop, and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.
• Embody our and