Senior Data Scientist - Microsoft OneDrive

Do you want to be on the leading edge of using big data to help drive strategy, product and engineering decisions for Microsoft’s largest consumer online service as well as one of most vital commercial services – OneDrive? The OneDrive Data Science team applies our technical analytical skills, working closely with Product, Engineering, User Research, Design, Marketing and Finance to accelerate and maximize the growth one OneDrive’s Consumer and Commercial user and subscriber bases.

We’re looking for a Senior Data Scientist with a proven track record of deeply understanding complex business problems and using industry-leading analytical techniques to find insights that transform our business and customer experiences.

Ideal candidates should be able to take a business or engineering problem from Product or Engineering leaders, translate it to a Data Science problem, conduct the appropriate analysis and modeling to reveal actionable insights, and then communicate those results to the OneDrive Leadership team to drive change.

 

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.

Responsibilities

• Work cross functionally to translate business problems into ones that can be solved and informed by data analysis. 
• Have curiosity and apply analytical skills to dive deep into data to find key insights that identify business problems and potential solutions.
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.  
• Work with other teams across Microsoft to develop key metrics to achieve business outcomes. 
• Be a champion of A/B testing: design, execute and analyze experiments to prove product change attribution.  
• Utilize tools like SQL, R, Python to execute analyses.
• Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
• Embody our culture and values 

Qualifications

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 sstatistical 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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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.

 

Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

 

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until July 18, 2025.

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.