Data Scientist II - Teams Commercial Data Science

Microsoft•Redmond, WA

14h

About The Position

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 collaborate with product teams focused on tangible and measurable business impact. Teams is strategic for the company and brings many exciting opportunities to improve the user experience and drive efficiency. This requires partnering with other data scientists within and outside Teams, business analysis, PMs, Applied Science, Engineers, and User Research. This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and deliver business outcomes. As a Data Scientist you will own and execute end‑to‑end data analysis for Teams Commercial scenarios, translating product questions into clearly defined metrics, insights, and recommendations that inform product and engineering decisions. You will build and strengthen foundation in product analytics, experimentation, and storytelling while partnering closely with DS and PM leaders to grow scope, influence, and technical depth. 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.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
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.

Nice To Haves

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 leveraging experience and understanding the need to deliver measurable business impact by working with stakeholders to turn business problems into data analysis questions and unearthing actionable insights from data.
Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product is a plus.
Have a track record of innovative thinking and problem-solving skills using Big Data.
Have the ability to deliver on ambiguous projects with incomplete data.
3+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
3+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
Ability to clearly explain ideas and communicate complex analysis & insights to a non-technical audience.
Experience working as part of geographically dispersed, diverse, and virtual teams.

Responsibilities

Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
Work cross functionally to translate business problems into ones that can be solved and informed by data.
Communicate vision and strategy, enabling global teams to operate independently to deliver success
Demonstrate curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.
Develop models of usage, user interaction and business patterns to make recommendations and influence the product roadmap.
Serve as a contributor and advocate for AB testing. Design, execute and analyze experiments to evaluate product change attribution.
Utilize tools like SQL, R, Python to execute analyses.
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 priority needs.

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