Data Scientist II – Teams Commercial Data Science

Overview

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.

• Translate business problems into data-driven questions and analyses that inform decision-making.
• Design, execute and analyze experiments to evaluate product change attribution and AB testing outcomes.
• Develop models of usage, user interaction and business patterns to influence the product roadmap.
• Collaborate with global teams and stakeholders to understand objectives and identify opportunities.
• Communicate findings and insights clearly to both technical and non-technical audiences.
• Apply statistical techniques and reporting to drive measurable business impact.

• 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 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).
• 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.
• Track record of innovative thinking and problem-solving skills using Big Data.
• 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, Map Reduce, 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.

Microsoft