Senior Data Scientist

With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.

The CE&S Business Intelligence Team is responsible for delivering data-driven decision making & self-serve analytics to optimize customer experience and support operations across Microsoft’s assisted and self-service support surfaces. We build and manage data platforms and dataflows, manages data and measurement governance, builds Machine Learning (ML) models, builds, and manages support-critical data tooling, and provides both core and business-specific analytics resources and guidance.

We are looking for a goal-driven Senior Data Scientist with deep experience in developing data driven solutions and expertise in conventional and state of the art Machine Learning (ML) and AI technologies. You will be working side-by-side with high-impact data scientists and strategic customers to solve complex problems. You will work with several teams including engineering crews, product teams, and program management to deploy business solutions.

This role is flexible in that you can work up to 100% from home.

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/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.
• Experience leading and mentoring data scientists.
• Experience with quantitative, data modeling, and statistical skills. Examples include causal inference, resampling techniques, mixed effects models, significance tests, etc.
• Fluent in tools for navigating and analyzing data (SQL, Azure Data Explorer, R, Python, Databricks, etc.).
• Experience with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, etc

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.

Additional or Preferred Qualifications

• Excellent written and oral communication skills, particularly the ability to synthesize complex problems/scenarios into easy-to-understand concepts.
• Creative, innovative, and organized thinker with high attention to detail.
  Self-driven to continuously learn and bring a growth mindset to problem-solving.
• Effective time management in complex, ambiguous, deadline-driven environments.

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:

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

Microsoft will accept applications for the role until April 1, 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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

#CES #CXA

• Be a self-starter with a demonstrated track record of providing technology vision and driving them through.
• Collaborate with partner teams (engineers and analysts) to deliver end-to-end systems and experiences.
• Develop Machine Learning models and solutions using classical algorithms as well as foundation models.
• Utilize Large Language Model's and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
• Apply your knowledge in quantitative analysis, data mining, and the presentation of data to inform decision-making.
• Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business''s most essential needs.
• Mentor other team members.
• Embody our culture and values