Principal Data Scientist & Analytics

Product Insights:

Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products.

Measurement:

Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.

Experimental Design & Implementation:

Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders.

Collaboration:

Partner effectively with program management, engineers, and other areas of the business across our Consumer online business.

Influence:

Engage with stakeholders to produce clear, compelling, and actionable insights and data-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, actionable and measurable to drive impact. 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) Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Great organizational, analytical, data science skills and intuition.

Fantastic problem solver:

Ability to solve problems that the world has not solved before Interpersonal skills: Cross-group and cross-culture collaboration. Experience with real world system building and data collection, including design, coding and evaluation. 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. Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.