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Microsoft Senior Data Scientist 
Canada, British Columbia, Vancouver 
674757617

01.05.2024

opportunities for improving

The Senior Data Scientist in thiscalling experiences.enables making andand building enterprise-grade calling solutions. Responsibilities


Qualifications

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.
  • 3+ years of professionaldata analysisexperience in SQL, R, Python, or related tools for large-scale analysis.

Preferred Qualifications

  • 3+ yearsleveragingthe practical uses of statistics (i.e.experimentation, statistical modeling)
  • Experienceas adata scientist for an online service, app, or Web site with millions of users.
  • Havea track recordof innovative thinking and problem-solving skills using Big Data.
  • Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.

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:

Microsoft will accept applications for the role until May 2, 2024.

Responsibilities
  • Work cross functionally to translate business problems into ones that can be solved and informed by data.
  • Have curiosity and apply analytical skills to dive deep into data to find key insights thatimpactthe business.
  • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
  • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.
  • Utilize tools like SQL, R, Python to execute analyses.
  • Other:Embodyour