Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
Requirements
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C-Sharp/Java/C++
- Experience in applying statistics, designing experimentation and metrics particularly in Advertising platforms.
- Organizational, analytical, data science skills and intuition .
- Problem solver: ability to solve problems that the world has not solved before
- Experience with real world system building and data collection, including design, coding and evaluation.
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
Responsibilities
- Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
- Think critically about sampling and experimental design across User and Demand dimensions.
- Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- Make independent decisions for the team and handle difficult tradeoffs.
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
Other
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 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.
- Interpersonal skills: cross-group and cross-culture collaboration.
- Excellent communication to be able to communicate insights to senior leaders.
- Experience with driving large collaboration across multiple teams.
- Experience with communicating with different audiences to provide insights.
