Senior Data Scientist, Data and Analytics

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!  

The Feeds & Verticals organization builds tools to connect people to content that matters. We aim to make Microsoft consumer products the content powerhouse for every person on the planet by delivering personalized experiences. We are looking for a highly motivated and experienced Senior Data Scientist to join our Growth and Analytics team. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required 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.

• 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ years of experience in data science modeling, statistics, analytics, business intelligence or data-driven business strategy. 
• 5+ years of data analysis experience with SQL/Python/R. 

Additional or Preferred Qualifications:

• Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Previous web analytics, product analytics and or content analytics experience .
• Knowledge of Ads ecosystem, content and online shopping metrics .
• Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.  

Data Science IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year.

Find additional pay information here:


Microsoft will accept applications for the role until January 19, 2025.

#MicrosoftAI

In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business!  

Your responsibilities will include:  

• Collaborating with cross-functional teams to design, develop, and implement recommendation algorithms to drive content consumption for publishing partners.  
• Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms. 
• Analyzing large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.  
• Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI. 
• Designing and conducting A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results.  
• Effectively communicating findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.