Senior Data Scientist
Overview
The Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners.
We are a modern product and services organization, one of the largest business & consumer services on the planet, with over 300 million monthly active users. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact.
The Senior Data Scientist in this position will be part of the team working on Microsoft Teams Phone calling experiences. Teams Phone enables making and receiving phone calls in teams and building enterprise-grade calling solutions. Responsibilities including defining and measuring success metrics, conducting A/B experiments, and providing insights on how customers use Teams Phone to continually improve the experience.
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. We are looking for you to bring a fresh perspective and your unique voice to our team.
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 professional data analysis experience in SQL, R, Python, or related tools for large-scale analysis.
Preferred Qualifications
- 3+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling)
- Experience as a data scientist for an online service, app, or Web site with millions of users.
- Have a track record of 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:
https://careers.microsoft.om/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until May 2, 2024.
#microsoftteams
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 that impact the 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: Embody our Culture and Values