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.
Be curious 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, and Python to execute analyses.
Grow and develop top talent – build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
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.
Requirements & Skills:
Doctorate 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 Master’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 Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results)
OR equivalent experience.
5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
5+ years of experience in SQL, R, Python, or related tools for large-scale analysis.
Experience presenting metrics and analysis to executives.
3+ years leading and growing a team of data scientists.
7+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
Experience as a data scientist for an online service, app, or website 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.
7+ 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.
Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.
