Microsoft Senior Applied Scientist 

Canada, British Columbia, Vancouver 

474688959

We continuously monitor the performance of each publisher across multiple different aspects like Advertiser, user and monetization to work towards a holistic platform solution.

In this role, you would work to solve ambiguous problems through analyzing big data.

You will enjoy and be successful in this role if you are curious and willing to challenge the status-quo and coming up with scientific solutions to real life problems.

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Data Science IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

Find additional pay information here:

• Provide creative solutions to marketplace problems using data driven approach, both for short and long term questions.
• Deliver robust and scalable solutions to improve Users' and advertisers' experience on both 1^stparty and 3^rdparty publishers.
• Be a ‘Go-To’ person for any data analytical needs ranging from data extraction/ manipulations, long term trend analysis, statistical analysis, and modeling techniques.
• Use hypothesis driven approach to answer analytical questions, provide recommendations to the leadership teams.
• Share standard methodologies and documentation across teams.
• Embody ourand